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                  Digital Technology

                  Our Expertise

                  Enterprises can achieve significant innovation through the deployment and use of digital technology. Technologies such as business continuity, cloud computing, DevOps platforms, digital security, edge computing, intelligent automation, internet of things, ITOps, ITSM and observability can improve both efficiency and effectiveness for the business and its IT operations. Embracing emerging technology is a necessity in today’s competitive market environment to enable the workforce and customers to engage effectively and to elevate the potential return on the organization’s assets.

                  ISG Software Research offers research-based guidance on embracing digital technology to increase the effectiveness of the workforce and engagement of customers. Change is required to maintain competitiveness and to achieve performance goals throughout the organization. Ventana Research can help.

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                  Through 2026, AI technologies will be pivotal in shaping the future of enterprise IT software, driving innovation, enhancing decision-making, optimizing costs and creating competitive advantages for organizations.
                  Jeff Orr

                  Jeff Orr

                  Director of Research
                  Digital Technology

                  Through 2027, 2 in 5 enterprises will realize that the digital technology used for operating virtually for business continuity is ineffective in supporting organizational resilience. 
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                  By 2026, more than one-half of enterprises will have invested into newly formed digital platforms to unify collaborative and conversational technology to simplify the work experience. 
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                  Through 2025, 3 in 5 enterprises will prefer modular and customizable SaaS services over all-in-one integrated software platforms to deliver value by adapting to specific business requirements.
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                  Through 2025, 70% of enterprises will conclude that data visibility, monitoring and analysis efforts have led to exorbitant costs for cloud computing services, requiring a new strategy for data consumption.
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                  By 2026, one-half of enterprises will find they have not embraced digital technology sufficiently to be more intelligent and automated, decreasing workforce satisfaction and increasing employee turnover. 
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                  Through 2026, less than one-half of enterprises will have established the Chief Digital Officer as responsible for the processes and technologies that enable digital effectiveness and optimal workforce productivity. 
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                  By 2026, more than one-half of enterprises will improve digital effectiveness by deploying virtual agents to conduct work through applied AI and intelligent automation.
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                  By 2026, more than one-half of enterprises will have adopted initiatives to transform in-house developed applications to cloud-native architectures.
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                  Through 2026, only 1 in 5 enterprises will analyze patterns and generate insights from GenAI software that empower data-driven decision-making and lead to improved business outcomes.
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                  By 2026, 25% of enterprises will offer GenAI tools and services for workforce collaboration on brainstorming, content creation and generating diverse recommendations to improve resource allocation and productivity.
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                  By 2026, only 40% of enterprises will optimize for operational efficiency using GenAI-powered natural language interfaces to drive cost savings and streamline processes.
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                  By 2026, one-third of enterprises will have established governance to mitigate risks associated with GenAI software ensuring ethical considerations, avoiding data and model bias, and safeguarding privacy and data security.
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                  Through 2026, more than one-half of enterprises will add personalized experiences to business applications to maximize productivity and effectiveness.
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                  Through 2026, nearly one-half of enterprises will deploy GenAI embedded in software applications. 
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                  By 2026, the enterprise adoption of Software Bill of Materials will enhance the security of the software supply chain, leading to long-term savings by mitigating security risks and preventing costly breaches.
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                  Through 2025, software for digital technologies will empower the enterprise CIO to drive strategic transformation, enabling efficient operations, informed decision-making and a competitive edge in the market.
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                  Through 2026, AI technologies will be pivotal in shaping the future of enterprise IT software, driving innovation, enhancing decision-making, optimizing costs and creating competitive advantages for organizations.
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                  Through 2025, enterprise CIOs will rely on digital technologies to transform operations, enable cost optimization, drive business goals, boost efficiency and achieve strategic objectives.
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                  By 2026, one-quarter of enterprise CIOs will realize that overinvestment and complexity in the business continuity plan hinders rather than enhances operational resilience.
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                  Through 2025, one-third of enterprises will realize that digital transformation investments have not fulfilled the organizational readiness needs for business continuity, requiring new digital investments.
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                  By 2026, one-half of enterprises will determine that current business applications for virtualized collaborative and mobile experiences are not suited for business continuity and resilience.
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                  By 2026, after decades of digital transformation efforts, two-thirds of enterprises will not resource business continuity as an investment priority to reduce operational risk due to black swan events. 
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                  By 2026, 1 in 3 enterprises will realize that disaster recovery plan investments focused on the software technology rather than the completeness of the plan, leaving the organization at risk from a lack of testing and exercising.
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                  Through 2026, only 1 in 8 enterprises will invest in cloud data replication to address high availability and reliability during a catastrophic event.
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                  By 2027, enterprise CIOs will prioritize business continuity software vendors to ensure 24x7 IT operations, mitigating downtime risks and enhancing operational resilience.
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                  By 2026, disaster recovery and business continuity software vendors will offer comprehensive Disaster-Recovery-as-a-Service platforms, providing flexibility and agility to enterprises.
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                  By 2026, one-third of enterprises will embrace business continuity planning to align digital technology investments to meet the demand of a virtualized customer, product and workforce environment. 
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                  By 2026, two-thirds of enterprises' investment into software and cloud computing will not be prepared to ensure continuity of business processes.
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                  Through 2026, one-fifth of enterprises will consolidate public cloud computing platforms to a single provider to redirect resource costs and effort from infrastructure to maximize the derived value. 
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                  By 2027, over three-quarters of enterprises will operate across multiple public cloud computing environments, necessitating the requirement for a unified data platform to virtualize access for business continuity. 
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                  By 2025, only 2 in 5 enterprises will have confidence in fluctuating market conditions to accurately plan and budget for cloud services, impacting cost optimization and transformation programs.
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                  Through 2025, the cloud service provider ecosystem will remain largely unchanged except for emerging community, industry and sovereign country providers.
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                  Through 2026, ITOps software providers will incorporate AI capabilities in cloud computing services to predict and prevent SLA breaches, ensuring optimal service delivery and improved customer satisfaction to the enterprise.
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                  By 2026, nearly one-half of enterprises will have started implementation of a secure access service edge strategy due to increased adoption of hybrid and multi-cloud environments.
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                  By 2026, one-half of enterprises will be investing in distributed cloud infrastructure to standardize environments used in the public cloud, as well as in on-premises data centers and at the edge. 
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                  Through 2026, two-thirds of enterprises will operate in cloud computing and mobile device operating environments in response to siloed activities from on-premises application and tool deployments. 
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                  Through 2026, one-half of enterprises will operate across multiple cloud computing providers to meet data sovereignty requirements.
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                  By 2026, over 2 in 5 enterprises will have overlooked information security’s role in evaluating digital technology, introducing unnecessary risk to corporate information assets.  
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                  By 2025, 1 in 8 enterprises will deploy GenAI in the security operations center to accelerate threat detection and resolution.
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                  By 2026, a push for digital modernization of applications will result in 2 in 5 enterprises adopting secure access service edge software to integrate digital security and networking strategies.
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                  Through 2025, the focus of the enterprise CISO must evolve to address secure DevOps, develop a cloud security strategy and implement AI-driven threat prevention.
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                  Through 2026, digital security software providers will seek partnerships with other providers to counter the enterprise desire to consolidate suppliers and optimize costs from separate agreements.
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                  By 2026, 3 in 5 enterprises will have deployed DNS, DHCP and IPAM (DDI) technologies to thwart attackers from spreading malware and gaining unauthorized access to network resources.
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                  By 2026, 7 in 10 enterprises will implement SPF, DKIM and DMARC policies to authenticate email domain senders and reduce email phishing and domain spoofing.
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                  Through 2026, the growth of attack surfaces will lead 3 in 10 enterprises to implement attack simulations and continuous threat exposure management to prioritize potential threats and remediation activities.
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                  Through 2026, over two-thirds of enterprises will converge cyber and information security efforts into digital security programs for effective governance and the protection of physical and digital assets.
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                  By 2026, over one-half of enterprises will require password encryption in digital security to reduce the risk of unauthorized access to corporate systems. 
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                  By 2026, over two-thirds of enterprises will have adopted digital identity platforms that unify digital security to protect enterprises’ intellectual assets. 
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                  Through 2026, a new generation of digital security technology using AI and virtual agents will be established to interoperate across the enterprise. 
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                  By 2026, 2 in 5 enterprises will shift from email-focused work experiences to messaging and collaborative environments that capture knowledge and improve organizational effectiveness. 
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                  Through 2027, enterprises that have not embraced voice and chat conversational computing to simplify business application interactions will be at a competitive disadvantage. 
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                  Through 2026, less than one-half of enterprises will embrace AI-powered intelligent virtual agents (IVA) to mitigate customer dissatisfaction while maximizing operational efficiency. 
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                  By 2026, only 3 in 10 enterprises will have deployed conversational experiences to the work environment with technology designed to increase productivity. 
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                  Through 2026, the majority of voice-based conversational computing experiences will be delivered on mobile devices, limiting the technology's reach and value.
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                  By 2026, one-half of enterprises will use intelligent automation technologies to interconnect disparate applications and systems across public and private cloud computing environments to optimize digital efficiencies. 
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                  By the end of 2026, more than 3 in 5 enterprises will have deployed automated virtual agents for efficient customer and worker engagement and operational effectiveness. 
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                  By 2026, over two-thirds of enterprises will standardize on a single digital platform for workflow automation and will deploy intelligent automation technologies to eliminate redundant manual work. 
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                  By the end of 2026, intelligent automation and workflow technology will combine into a new digital platform that enables people and machines to create resilience in business processes.  
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                  By 2026, the need to manage repetitive activities in 3 in 5 enterprises will drive workflow automation to advance efficiency using intelligent automation technologies. 
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                  By 2026, one-quarter of low-code platforms will incorporate intelligent automation technologies to improve business processes involving legacy applications.
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                  Through 2026, 1 in 5 enterprises will look to add process intelligence and streamline operations by exploring process mining to optimize workflow and business processes. 
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                  By 2026, one-half of enterprises will examine methods to gain intelligence on the events and activities of people and machines, elevating the importance of process mining technology. 
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                  By 2025, Intelligent Document Processing software providers will be foundational for improving workflow, data entry and data processing in the growth of intelligent automation.
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                  By 2026, RPA technology will evolve to address the broader needs of intelligent automation and distributed cloud architectures, and will be delivered as a SaaS platform, reducing the need for complex infrastructure setup and maintenance.
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                  Through 2026, process mining will remain primarily associated with major software vendor applications requiring customization to mine the preponderance of business processes. 
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                  By 2026, more than 4 in 5 process mining platforms will incorporate AI and machine learning to examine and improve existing business processes.
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                  By 2026, one-half of enterprises will realize that digital experiences are neither intelligent nor automated, and that they fail to meet the readiness requirements of enterprises.
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                  Through 2026, more than one-half of enterprises will increase investments in observability technology to accelerate the value being generated from telemetry data including logs, traces and metrics.
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                  Through 2026, more than one-quarter of enterprises will combine business event data with machine-generated telemetry data to provide context and generate additional business value from observability.
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                  By 2026, the limitations of data source discovery and the growth of IT blind spots will result in nearly one-half of enterprises investing in new observability platforms and tools to maintain visibility across all systems.
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                  Through 2025, 40% of enterprises will consolidate the tools used for observability in favor of consolidated observability platforms to achieve greater scalability and to optimize costs.
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                  By 2026, the adoption of open source observability tools and standards that foster cultures of transparency and collaboration will lead 1 in 3 enterprises to reduced mean time to resolution for unplanned downtime and performance variations.
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                  By 2026, software providers for enterprise observability platforms and tools must improve growth opportunities and broaden scope beyond DataOps and SecOps to include DevOps, MLOps and AIOps.
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                  By 2025, observability software providers will incorporate GenAI into products and services to improve the accessibility and usability of data analysis by enterprise IT teams.
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                  By 2026, only 1 in 10 enterprises will have achieved end-to-end observability due to data silos, application complexity and volume of data, limiting the potential for resilience and growth.
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                  Through 2026, three-quarters of enterprises utilizing telemetry data will have invested in observability pipelines to improve time-to-detection and time-to-resolution based on machine logs, traces and metrics.
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                  By 2026, the complexity of IT Service Management frameworks and lack of infrastructure knowledge will convince 4 in 5 enterprises to investigate AI technologies including machine learning, NLP and GenAI to improve efficiency.
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                  Through 2026, 75% of enterprises will rely on software and managed service providers to overcome the challenges of integrating data and systems within IT Service Management due to disparate and legacy systems.
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                  Through 2025, the creation and maintenance of digital workflows will remain the leading transformative activity for enterprises to create new business processes, culture and customer experiences.
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                  By 2026, IT Service Management software providers must evolve product offerings beyond transactional ticketing to initiate workflow for work orders, support articles or marketing content.
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                  By 2026, IT Service Management software providers will integrate conversational AI to improve user workflow engagement, understand queries and accelerate ticket resolution.
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                  By 2026, 85% of enterprises will rely on IT Service Management application marketplaces to connect software platforms across line-of-business groups.
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                  Through 2026, over one-half of enterprises will face challenges developing and rolling out AI capabilities in DevOps programs that are necessary to use data-driven insights and gain operational efficiency.
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                  By 2026, nearly one-third of enterprise DevOps teams will utilize GenAI in the design, development and maintenance of applications that conform to industry and business standards for quality and security.
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                  By 2026, DevOps software providers must enhance products and services to incorporate AI platforms, such as pre-built models and infrastructure, AI-capable workflows and GenAI support.
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                  By 2026, software providers that combine predictive analytics and AI into release management tools will help DevOps teams achieve quality and issue resolution goals in response to calls for streamlining the enterprise process.
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                  By 2027, 1 in 6 enterprises will fail to implement secure application development forcing a strategy change to integrate security into DevOps pipelines or adopt infrastructure as code.
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                  Through 2025, a lack of qualified developers to maintain legacy applications will lead to software vulnerabilities that require enterprises to prioritize transformational programs to control maintenance costs and remain competitive.
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                  Through 2026, 4 in 5 enterprises will adopt low-code or no-code platforms for applications development, reducing IT complexity and improving the agility to adapt to changes.
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                  Through 2025, 1 in 7 enterprises will invest in DevOps to improve the customer experience, increasing the adoption rate of applications and enhancing workforce efficiency.
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                  By 2026, software providers for ITOps must reduce the complexity of designing, configuring and maintaining IT systems in order to remain relevant in the next generation of transformational enterprise activities.
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                  By 2026, ITOps software providers must modernize and enhance product offerings to support data lakes, AI technologies and advanced analytics necessary for AIOps to reduce monitoring and increase automation.
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                  By 2026, the proliferation of hybrid digital infrastructure will require that enterprises invest in management skills, tools and processes to address emerging ITOps challenges.
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                  Through 2025, demand for real-time insights into the health and performance of IT systems will result in 40% of enterprises funding AIOps strategies to streamline operations and optimize resources.
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                  By 2025, the desire for a holistic view of IT operations will lead 60% of CIOs to include AIOps on technology priorities to help manage hybrid infrastructure and optimized workloads.
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                  Through 2026, 4 in 7 enterprises will encounter challenges managing the current ITOps environment and investigate new approaches for data infrastructure, DevOps, hybrid cloud management and observability.
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                  Through 2026, one-half of enterprises using IoT technology will rely on real-time events and messages that stream to cloud-based data warehouse or data lake environments to increase operational insights. 
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                  Through 2025, the zettabytes of data generated by IoT devices will motivate software providers to offer data management tools incorporating machine learning and GenAI capabilities that help enterprises extract meaningful insights.
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                  Through 2026, 1 in 5 enterprises will find they lack distributed and secure architecture to support the event streams required to efficiently operate IoT devices. 
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                  By 2026, one-third of enterprises will unify edge computing to process events using machine learning and analytics to increase the intelligence in IoT. 
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                  Through 2026, three-quarters of IoT platforms will incorporate edge processing as well as AI and machine learning to increase the intelligence in IoT. 
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                  Through 2026, edge computing software providers will focus on digital security development that leads to enhanced booting security and executing only trusted firmware. 
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                  By 2025, edge computing software providers will introduce Edge-as-a-Service platforms enabling enterprises to address tracking, predictive analysis and edge automation.
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                  Through 2026, three-quarters of industrial IoT applications will require low-latency processing to satisfy operational requirements.
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                  Through 2026, only 1 in 5 CIOs will effectively communicate how technology programs relate to business goals, leaving the C-suite and board unable to perform their duties.
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                  By 2026, more than 20% of IT departments will continue to support legacy systems and practices, leading to increased tech debt and a reduction in operational efficiency and productivity.
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                  Through 2025, CIOs seeking to improve the enterprise's customer experience and engagement levels will have implemented digital modernization initiatives, though only 1 in 8 will have aligned the programs with business goals and objectives.
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                  By 2026, 55% of CIOs and IT leaders will have put digital modernization programs into action, giving them the agility and flexibility to adapt to evolving market demands.
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                  Through 2026, ineffective relationships between the IT and security teams will contribute to 3 in 5 organizations experiencing access and authentication vulnerabilities.
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                  By 2026, 3 in 10 organizations will use a hybrid cloud deployment to achieve the flexibility and scalability of public cloud with the security and control of a private cloud.
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                  By 2027, 4 in 10 enterprises will have moved workloads to a private cloud environment to have greater control over data, workloads and security.
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                  Browse the Content

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                  ISG Research On-Demand is an advisory service that provides access to exclusive research and monthly dialogue with our analysts.Visit the services page to learn more.
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                  ISG Buyers Guide for Intelligent Document Processing Classifies and Rates Software Providers

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                  ISG Buyers Guide for Conversational Automation Classifies and Rates Software Providers

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                  ISG Research offers market observations and overall results from the Intelligent Automation Buyers Guides for digital technology software products.

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                  Restructuring Cybersecurity: Lessons from Microsoft's Recent Changes

                  With cybersecurity a challenge for companies from every industry, enterprise-wide efforts to combat threats are a critical part of overall business strategy.

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                  Unlocking Success with Enterprise GenAI Tools

                  To achieve best return on investment in GenAI tools calls for comprehensive user support and a focus on optimizing user interactions.

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                  Oracle Earns Digital Technology Digital Innovation Award for 2024

                  Oracle Earns Ventana Research Digital Technology Digital Innovation Award for 2024.

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                  Cloud Platforms and Accessibility Hurdles

                  Multi-cloud, hybrid and sovereign cloud services must offer better visibility, accessibility to support enterprise innovation, growth of data applications.

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                  The Buyers Guides for Cloud Computing Platforms Classifies and Rates Software Providers

                  Ventana Research offers market observations and overall results from the Cloud Platforms Buyers Guides for digital technology software products.

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                  Who Poisoned the AI Watering Hole: Adversarial Threats in AI

                  The convergence of AI’s transformative potential and the growing sophistication of threat actors demands a proactive approach to safeguarding AI systems.

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                  ServiceNow Puts AI to Work at Knowledge 2024 Conference

                  ServiceNow diversifies beyond IT services to offer workflow optimization to enterprise teams with an AI-driven platform offering automation, integration.

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                  The Decomplexification of IT: Simplifying Enterprise Technology

                  Decomplexification encompasses IT activities to simplify the technology stack while enhancing efficiency, security and collaboration within an enterprise.

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                  Navigating the Enterprise IT Ops Labyrinth

                  Enterprises are increasingly recognizing the need to streamline operations for efficiency, agility and innovation, leading to new “Ops” initiatives.

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                  Navigating Security Threats with CTEM Integration

                  Evaluate business and technology needs when considering how to integrate CTEM tools to predict, detect and respond to cyber threats effectively.

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                  CTEM: Proactive Security Defense for Business

                  Cybersecurity with real-time detection: CTEM continuously monitors for cyber threats and automatically responds to security events to minimize disruption.

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                  Five Leading Business Outcomes with Enterprise Cloud Computing

                  Enterprise cloud computing is not just about being tech-forward: it helps achieve business outcomes, most effective when aligned with business objectives.

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                  2024 Digital Technology Market Agenda: Modernization for IT and CIO

                  The 2024 Digital Technology Market Agenda will help leaders define digital transformation and modernization plans and identify key investments for effective IT operation.

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                  AI Hallucinations Are More Than a Headache for Business and IT

                  Don’t let AI hallucinations distort enterprise reality; take steps to train and maintain AI models to ensure accurate, ethical and reliable results.

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                  Bank of America Earns Digital Technology Digital Leadership Award with Alteryx for 2023

                  Bank of America earned the 2023 Digital Technology Digital Leadership Award for its use of Alteryx to streamline data flows through automation.

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                  The Intelligent Automation Journey: From Objectives to Implementation

                  With intelligent automation widely available for use in nearly all enterprise activities, clarity on business goals is key to strategic implementation.

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                  Intelligent Automation Trends to Improve Business Results in 2024

                  Intelligent automation is paving the way for a future where machines can learn, adapt and act in increasingly intelligent ways that benefit enterprises.

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                  Modernizing the Contact Center with AI

                  Contact centers generate an enormous amount of data in the course of handling customer interactions.

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                  Accelerating Analytics Insight from Operational Data

                  Data-driven organizations stand to gain a competitive advantage when they increase the speed and scale of how data is accessed and processed.

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                  ServiceNow Platform Automates Optimal Workforce Experiences

                  ServiceNow’s workflow automation helps digitize and automate siloed processes within an organization to create optimal experiences for the workforce.

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                  AI Advances Automation for Enhanced Efficiency

                  Artificial intelligence plays a key role in advancing new forms of automation to manage increasingly complex and diverse tasks for enhanced efficiency.

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                  Intelligent Automation Unlocks the Full Potential of Technology

                  Organizations can employ intelligent automation to unlock the full potential of technology and achieve business goals.

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                  Protect Your Data with SAML Authentication

                  Cybersecurity threats are more prevalent and dangerous than ever, and breaches can have huge financial and mission-oriented implications when they occur.

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                  Hybrid and Multi-Cloud Architecture Enables Digital Modernization

                  Hybrid and multi-cloud computing helps organizations optimize the IT infrastructure necessary for digital transformation and modernization efforts.

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                  Harnessing Generative AI: Fueling Collaboration and Conversation

                  Generate creative content that drives innovation and performance, improve collaboration and enhance customer engagement using generative AI.

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                  The Digital Era of Business Transformation to Modernization for CIOs

                  Digital modernization focuses on maximizing the efficiency of existing software investments and resources to improve productivity, agility and flexibility.

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                  Digital Modernization Helps CIOs Align to Business Growth

                  Analyst Jeff Orr takes the helm of the CIO and technology leader practice, sharing research and advice to help organizations modernize digital systems.

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                  Kognitos Earns Digital Technology Digital Innovation Award for 2023

                  Kognitos’ use of generative AI and natural language within automation platforms earned Ventana Research’s 2023 Digital Technology Innovation Award.

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                  OpenAI Earns Overall Digital Innovation Award for 2023

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                  Generative AI Ushers in a New Age of Content and Model Creation

                  Generative AI responds to natural language queries and instructions to create content and models with artificial intelligence and machine learning.

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                  Use Observability for Better Digital Processes

                  Organizations are expanding use cases for observability, including mitigating the risk of business disruptions and enhancing customer experiences.

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                  2023 Digital Technology Market Agenda: Innovation for Digital Agility

                  The 2023 Digital Technology Market Agenda will help leaders define business continuity plans and identify key investments for effective virtual operation.

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                  2023 Market Agenda: Digitalization Evolves for Business Revitalization

                  Insights from Ventana Research’s 2023 Market Agenda highlight technology investments to improve agility and competitiveness through digital effectiveness.

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                  Personalize Experiences to Improve Engagement and Outcomes

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                  Cloud Computing Realities Part 4 — Security and Governance

                  Security and compliance features of today’s cloud providers rival the strongest on-premises approaches, paving the way for a safe, secure move to the cloud.

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                  Suresh Babu Jaganathan at Roche earned the 2022 Digital Leadership Award in Digital Technology by using Solace for event streaming and management.

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                  Cloud Computing Realities Part 3: Business Continuity

                  Cloud computing provides strong support for business continuity during regular and virtual operations, additional tools help defend against disruption.

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                  Cloud Computing Realities Part 2: Hybrid and Multi-Cloud Architectures

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                  Information Requirements Across the Organization

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                  Cloud Computing Realities – Part 1

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                  Webinar: Evaluate Analytics and Data Vendors for Successful Outcomes

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                  Enhance Analytics Performance and Impact in the Cloud

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                  Avoiding Cloud Data Cost Overruns

                  The anticipated benefits of cloud computing have encouraged organizations to accelerate adoption of cloud-based applications and services. Data and analytics are no exception, especially as more and more of an organization’s data resides in the cloud

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                  Why Data and AI Matter in Sales

                  Revenue growth is a key indicator of competitive success. This is a given, yet for many companies, competing successfully is becoming more difficult.

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                  Key Requirements for Building Analytic Applications

                  The ultimate objective of analytics in organizations is to improve operations with better, fact based decision making. But doing so requires that decisions are made within the proper context so they are relevant and accurate.

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                  The Digital Age of Data Intelligence

                  The age of data is here, and the value of all that data to organizations continues to increase. Data has, in fact, become integral to an organization’s ability to grow and thrive. So, it is essential that organizations tap into every available source

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                  Embracing Modern Data Governance Practices

                  For too long, data governance has been about preventing people from doing things with data. Yes, restrictions and controls over data are absolutely necessary and should be part of every organization’s information architecture.

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                  Decoupling the AI/ML Pipeline for Scale

                  Artificial intelligence and machine learning (AI/ML) are extremely valuable to organizations. Our research shows that AI/ML help organizations gain a competitive advantage and improve customer experiences, and have a direct impact on the bottom line,

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                  The Age of Communication Platforms

                  Demand is growing for a new generation of modern communication technology for the enterprise. Individuals within organizations have the need to connect and collaborate with others at any time for any purpose, and while this need is present under norm

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                  Cloud-Based Architecture for Data and Analytics

                  Organizations today increasingly are choosing to store their data and perform their analyses in the cloud. Our research finds that almost one-half (49%) of organizations are already using cloud-based analytics systems, and data is being migrated to t

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                  Eliminating Bottlenecks in Analytics

                  For many organizations, analytics processes are riddled with roadblocks. There are many valid reasons why these roadblocks existed in the past, and they were often based on technical limitations.

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                  Collectively, we are amid a transition from data at rest to data in motion. Large volumes of data are streaming into organizations from all sides and with increasing frequency, forcing organizations to rethink how they process data.

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                  Data and AI Governance for Trusted Insights

                  Analytics are critical to the efficient and effective operation of most modern organizations; to that end, trusted analytics require trusted data.

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                  Unlocking the Promise of Artificial Intelligence and Machine Learning

                  Artificial Intelligence and Machine Learning (AI/ML) have quickly become difference makers for organizations looking to develop a competitive advantage.

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                  A Practical AI Strategy for FP&A

                  The use of artificial intelligence (AI) that harnesses machine learning (ML) will be the single most important trend in business software this decade because it can multiply the investment value of such applications and provide software companies an

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                  New Approaches to Master Data Management

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                  NVIDIA Earns Digital Technology Digital Innovation Award for 2022

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                  Intelligent Insights for Everyone, Everywhere

                  In today’s dynamic business environment, organizations cannot fly blindly and expect to succeed. There is a trove of internal and externally sourced data available to organizations that can and should be used to improve decision-making.

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                  Intelligent Automation in the Cloud

                  Robotic Process Automation (RPA) has evolved considerably beyond its original purpose of automating routine tasks to become a core technology for the intelligent automation of all parts of an organization.

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                  The Digital Future of Human Capital Management

                  A new generation of digital technologies is extending human capital management (HCM) systems, making them simpler and more productive than ever before.

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                  The Impact of AI on Finance and Accounting

                  Futurists and software vendors have been pointing to a day when artificial intelligence (AI) using machine learning (ML) will perform miracles such as providing life-saving diagnoses and recommending treatments for even rare diseases in seconds.

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                  Moving from Batch to Event Streaming

                  Operations are continuous in most organizations today and so too is the data these operations generate.

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                  The Way Forward with RPA

                  Robotic Process Automation (RPA) is a core digital technology for increasing productivity and efficiency, speeding the completion of work, and increasing its quality and controllability.

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                  Adoption of cloud and edge computing infrastructure has brought many benefits to organizations of all sizes. It has improved business agility by reducing the need for upfront purchasing, configuration and deployment of infrastructure, and reduced the

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                  Collecting and Managing IoT Data for Analytics

                  While the Internet of Things (IoT) may still be unfamiliar to many consumers, businesses are well aware of its potential. More than 90% of participants in our research said that IoT is important to their future operations.

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                  Simplify your Data and Analytics Architecture for Faster Insights

                  Organizations face increasing competition and compressed time frames that require intelligent use of all available data.

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                  Cloud Migration Tips, Tricks and Traps

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                  ServiceNow Earns 2022 Digital Innovation Award for Digital Business

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                  Five Key Requirements of an External Data Platform

                  External data can be valuable to many organizations. It can enrich the internal data that an organization collects and analyzes about its customers, prospects and partners.

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                  The 2020 Vision: The Next Decade for Enterprise Analytics

                  To gain the full benefit of the insights analytics can deliver, organizations need to embrace a new approach, one that will make the analytics not only useful but meaningful to each individual whose work can benefit from them.

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                  The Era of Video Communications

                  Digital experiences for the modern workforce must offer simplicity of usage without sacrificing sophistication of the technology itself.

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                  Oracle ME Earns Overall Digital Innovation Award for 2022

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                  The Digital Technology Market Agenda for 2022: Innovation for Business Resilience

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                  Digital Business Market Agenda for 2022: Resilience and Readiness

                  With the announcement of Ventana Research’s 2022 Market Agenda, our expertise in Digital Business continues to advance the market need for effective investments into technology, and I will outline here the key areas of focus to provide insights to or

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                  City Furniture Earns Digital Leadership Award in Digital Technology with Denodo for 2021

                  The annual Ventana Research Digital Leadership Awards recognize organizations and individuals that utilize technology to advance business and IT. The Digital Leadership Awards showcase the professional leadership and their use of business application

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                  International Game Technology Earns Digital Leadership Award in Digital Business with Moovila for 2021

                  The annual Ventana Research Digital Leadership Awards recognize organizations and individuals that utilize technology to advance business and IT. The Digital Leadership Awards showcase the professional leadership and their use of business application

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                  Guide Successful Technology Vendor Selections for Best Outcomes

                  Business improvement stems from technology investments that advance automation and apply intelligence to your work and processes, increasing the potential achievement of desired outcomes.

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                  Why I Joined Ventana Research to Advance Digital Technology

                  I am very happy to announce that I have joined Ventana Research to help lead the expertise area of Digital Technology, including Analytics and Data, Cloud Computing, Artificial Intelligence and Machine Learning, the Internet of Things, Robotic Automa

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                  Market Perspective
                  Blue Prism’s Robotic Process Automation Creates a Digital Workforce

                  Robotic process automation has developed into a significant part of the enterprise software and low- to no-code development approach in the past few years.

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                  The Digital Age of Data Intelligence

                  The age of data is here, and the value of all that data to organizations continues to increase. Data has, in fact, become integral to an organization’s ability to grow and thrive. So, it is essential that organizations tap into every available source

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                  Expert.ai Earns 2021 Digital Innovation Award for Digital Technology

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                  ConverSight.ai Earns 2021 Digital Innovation Award

                  The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization.

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                  Moovila Earns Digital Business Innovation Award for 2021

                  The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our

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                  Innovit Named a Vendor with Merit in the 2021 PIM Value Index

                  We are happy to share some insights about Innovit MDM drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

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                  Analyst Perspective
                  Digital Business Market Agenda for 2021 and Beyond

                  With the announcement of Ventana Research market agenda, a new expertise in Digital Business has been launched, I will outline the areas of focus that provide insights to organizations that can be used to optimize technology, increase agility and org

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                  The Digital Technology Market Agenda for 2021: Predictability in Unpredictable Times

                  I’m proud to share Ventana Research’s 2021 market agenda for digital technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that increase workforce effectiveness and organizational agility

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                  The Ventana Research 2021 Market Agenda: How Digital Effectiveness Impacts Organizational Agility

                  Ventana Research has announced its market agenda for 2021, continuing the tradition of transparency in our efforts to educate and guide the technology market but also our independence as we do not share our market agenda or analyst perspectives with

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                  The Era of Video Communications

                  Digital experiences for the modern workforce must offer simplicity of usage without sacrificing sophistication of the technology itself. And the reality for today’s virtual, dispersed workforces is that video is a must-have for all digital communicat

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                  The Modernization of Video Communications

                  The important role that video plays in digital communications has been clear for some time, and our benchmark research finds it to be one of the highest growth channels for communications in 35% of organizations.

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                  PTC Brings Innovation to Product Experiences

                  Augmented reality (AR) is a critical component of digital technology. The role of AR is to virtualize the visualization and engagement of assets and products with information that can enhance the value of it for many purposes including manufacturing,

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                  Business Continuity: Establishing Organizational Readiness for Business Resilience

                  Through 2021, one-half of organizations will realize that digital transformation (DX) investments have not met the organizational readiness requirements of business continuity, leading to a new focus on innovative digital technologies that more relia

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                  8x8: Open Communications Platform earns our 13th Digital Innovation Award for Digital Technology

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                  The Analytics to AI Spectrum

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                  ServiceNow: Now Platform earns our Overall Digital Innovation Award

                  The annual Ventana Research Digital Innovation Awards showcases advances in the productivity and potential of business applications, as well as technology that contributes significantly to improved efficiency and productivity in the processes and the

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                  Unlocking the Promise of Artificial Intelligence and Machine Learning

                  Artificial Intelligence and Machine Learning (AI/ML) have quickly become difference makers for organizations looking to develop a competitive advantage. AI/ML enables organizations to make sense of the increasingly large volumes of complex informatio

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                  The Age of Communication Platforms

                  Modernizing communication technology within the organization will improve the overall employee and customer experiences by reducing friction and enabling richer, more reliable communication experiences across all business functions. Deploying a next-

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                  The Business Continuity Imperative: Digital Innovation for Optimal Experiences in 2020 and Beyond

                  At Ventana Research we’re familiar with the need for digital transformation as we have been researching and providing education on this topic for almost two decades.

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                  The Business Continuity Imperative: Digital Technology for Optimal Operations in 2020 and Beyond

                  The imperative to infuse digital technology into your organization is not new, but it’s more essential than ever that organizations embrace digital transformation and business continuity to improve processes.

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                  The Ventana Research Digital Technology Agenda in 2020

                  Ventana Research recently announced its 2020 research agenda for digital technology, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value and improve business outcomes.

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                  Can Your Data Keep Up with Your AI and ML Efforts

                  As data volumes and velocities increase, more and more decisions are being made using AI and ML. However, the process of operationalizing AI and ML models requires a dynamic data architecture that can constantly be training new models while simultane

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                  Market Agenda Calendar

                  ISG Software Research maintains a rigorous approach to its areas of research expertise through a methodology of processes and activities to ensure we provide the best possible insights on technology across business and IT. This is represented in our Market Agenda, which is a foundation for providing actionable information and guidance to help you identify opportunities for improved competitiveness and effectiveness. Other industry analyst firms lack methodology and a publicly available research agenda and are easily biased by clients and the industry. We take pride in our reputation for independence and provide our research calendar and agenda for visibility into the upcoming months of activity.

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                  Vendors Covered

                  Vendors Not Covered or Recommended

                  • Aera
                  • Akamai Technologies
                  • Automation Anywhere
                  • BigPanda
                  • Blue Prism
                  • Bsquare
                  • Celigo
                  • Celonis
                  • Creatio
                  • Datadog
                  • Datamatics Global Services Limited
                  • Dataminr Inc
                  • deepsense.ai
                  •  
                  • Dell
                  • Dynatrace
                  • Expert.ai
                  • GE Digital
                  • HCL
                  • Honeywell
                  • IoT.nxt
                  • Kofax
                  • Nintex
                  • NTT
                  • Palo Alto Networks
                  • Pegasystems
                  • PTC
                  •  
                  • SambaNova Systems
                  • Siemens
                  • Software AG
                  • Sumo Logic
                  • Temporal Technologies
                  • Tray.io
                  • UIB Holdings
                  • UiPath
                  • Veeam
                  • Veritas Technologies
                  • Workato
                  • WorkFusion
                  • Worksoft
                  •  
                  For more information on Vendor coverage, or to become a covered vendor, click here.

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