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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. 3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)?

Strategy 289
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Data Equals Truth, and Truth Matters

erwin

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? Assure an Unshakable Data Supply Chain to Drive Better Business Outcomes in Turbulent Times. Strong data management practices can have: Financial impact (revenue, cash flow, cost structures, etc.).

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What’s New and What’s Next in 2023 for HPC

CIO Business Intelligence

Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. As leaders in the HPC industry, we are worried about how to cool these data centers. Another big focus is on liquid cooling. [2]

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Human-centered design and data-driven insights elevate precision in government IT modernization

IBM Big Data Hub

Government executives face several uncertainties as they embark on their journeys of modernization. What makes or breaks the success of a modernization is our willingness to develop a detailed, data-driven understanding of the unique needs of those that we aim to benefit.

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Integrated Customer Engagement: The Need of the Hour!

bridgei2i

The current COVID-19 pandemic has spread waves of uncertainty across businesses and their customer base. The process of zero-based budgeting starts from a “zero base,” and every function within an organization is analyzed for its needs and costs. Integrated Customer Engagement: The Need of the Hour!

B2B 52
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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

3) Cloud Computing Benefits. It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237
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Product Management for AI

Domino Data Lab

Skomoroch advocates that organizations consider installing product leaders with data expertise and ML-oriented intuition (i.e., Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. A few highlights from the session include.