Enterprise Risk Strategy 
CIO Business Intelligence
OCTOBER 23, 2024
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. This creates new risks around data privacy, security, and consistency, making it harder for CIOs to maintain control.
CIO Business Intelligence
DECEMBER 18, 2024
This year saw emerging risks posed by AI , disastrous outages like the CrowdStrike incident , and surmounting software supply chain frailties , as well as the risk of cyberattacks and quantum computing breaking todays most advanced encryption algorithms. To respond, CIOs are doubling down on organizational resilience.
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CIO Business Intelligence
FEBRUARY 20, 2024
As enterprise CIOs seek to find the ideal balance between the cloud and on-prem for their IT workloads, they may find themselves dealing with surprises they did not anticipate — ones where the promise of the cloud, and cloud vendors, fall short versus the realities of enterprise IT. That’s where the contract comes into play.
CIO Business Intelligence
JANUARY 30, 2025
particular, companies that use AI systems can share their voluntary commitments to transparency and risk control. At least half of the current AI Pact signatories (numbering more than 130) have made additional commitments, such as risk mitigation, human oversight and transparency in generative AI content.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. 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.
O'Reilly on Data
NOVEMBER 28, 2023
In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. What’s the reality? Only 4% pointed to lower head counts.
Rocket-Powered Data Science
FEBRUARY 15, 2023
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? That is: (1) What is it you want to do and where does it fit within the context of your organization?
Speaker: William Hord, Vice President of ERM Services
Your ERM program generally assesses and maintains detailed information related to strategy, operations, and the remediation plans needed to mitigate the impact on the organization. Organize ERM strategy, operations, and data. It is the tangents of this data that are vital to a successful change management process.
Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo
After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. Strategies to avoid the risks of modernization by future-proofing your organizational infrastructure. How a platform-based approach can solve modern content challenges.
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