Remove Risk Remove Strategy Remove Technology
article thumbnail

It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose. According to Richard Kulkarni, Country Manager for Quest, a lack of clarity concerning governance and policy around AI means that employees and teams are finding workarounds to access the technology.

Risk 111
article thumbnail

Deep tech disruption: How advanced technologies are transforming businesses

CIO Business Intelligence

From AI models that boost sales to robots that slash production costs, advanced technologies are transforming both top-line growth and bottom-line efficiency. Business leaders dont need to be technology experts to grasp this shift; they need vision and urgency. Today, that timeline is shrinking dramatically.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

To understand the risks posed by AI, follow the money

O'Reilly on Data

It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. We ought to heed Collingridge’s warning that technology evolves in uncertain ways. We ought to heed Collingridge’s warning that technology evolves in uncertain ways.

Risk 264
article thumbnail

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. I suggest that the simplest business strategy starts with answering three basic questions: What? In short, you must be willing and able to answer the seven WWWWWH questions (Who?

Strategy 290
article thumbnail

LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.

article thumbnail

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

datapine

It’s a hot topic, and as technologies continue to evolve at a rapid pace, the scope of the cloud continues to expand. More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. 2) The Challenges Of Cloud Computing.

Risk 237
article thumbnail

CIOs face mounting pressure as AI costs and complexities threaten enterprise value

CIO Business Intelligence

Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. CIOs should create proofs of concept that test how costs will scale, not just how the technology works.”

article thumbnail

Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

How do you, as a technology leader, point your team in the right direction, especially given how quickly this is evolving? The session will cover a lot of ground, including: An overview of Containers and Serverless technologies with a focus on key differences.