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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

Most enterprises are committed to a digital strategy and looking for ways to improve the productivity of their workforce. This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner.

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How to become an AI+ enterprise

IBM Big Data Hub

This requires a holistic enterprise transformation. We refer to this transformation as becoming an AI+ enterprise. Figure 1: Transforming into an AI+ enterprise is at the core of what our team at IBM does An AI+ enterprise integrates AI as a first-class function across the business. times higher ROI. times higher ROI.

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More connected, less secure: Addressing IoT and OT threats to the enterprise

CIO Business Intelligence

The Internet of Things (IoT) is a permanent fixture for consumers and enterprises as the world becomes more and more interconnected. In this article, we’ll explore the risks associated with IoT and OT connectivity and the measures that organizations need to take to safeguard enterprise networks. billion devices reported in 2023.

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CIOs are worried about the informal rise of generative AI in the enterprise

CIO Business Intelligence

Now, generative AI use has infiltrated the enterprise with tools and platforms like OpenAI’s ChatGPT / DALL-E, Anthropic’s Claude.ai, Stable Diffusion, and others in ways both expected and unexpected. What a difference a few months makes. This includes documentation of the risks and potential impacts of AI technology.

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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.

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4 ways CISOs can manage AI use in the enterprise

CIO Business Intelligence

Over the summer, I wrote a column about how CIOs are worried about the informal rise of generative AI in the enterprise. Since then, many CIOs I’ve spoken with have grappled with enterprise data security and privacy issues around AI usage in their companies. That column may have been the understatement of the year.

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7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Guan believes that having the ability to harness data is non-negotiable in today’s business environment.

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Drive GTM Efficiency with Tech Stack Consolidation

Consolidating your tech stack is an effective cost-saving measure that drives GTM efficiency and adds value to your enterprise. With a cohesive, integrated tech stack, your revenue teams can deliver an excellent customer experience that sets you up to win faster than your competitors.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity. Deploying “data as code” throughout the enterprise. It includes on-demand video modules and a free assessment tool for prescriptive guidance on how to further improve your capabilities. Sign up now!

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ERM Program Fundamentals for Success in the Banking Industry

Speaker: William Hord, Senior VP of Risk & Professional Services

Enterprise Risk Management (ERM) is critical for industry growth in today’s fast-paced and ever-changing risk landscape. How are we measuring and rating our risk impact, likelihood, and controls to mitigate our risk? How are we measuring and rating our risk impact, likelihood, and controls to mitigate our risk?