O'Reilly on Data
APRIL 19, 2021
During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. When we asked respondents with mature practices what risks they checked for, 71% said “unexpected outcomes or predictions.” Risks checked for during development. But has it matured?
O'Reilly on Data
MARCH 18, 2020
The update sheds light on what AI adoption looks like in the enterprise— hint: deployments are shifting from prototype to production—the popularity of specific techniques and tools, the challenges experienced by adopters, and so on. Managing AI/ML risk. 2 risk factor among companies still evaluating AI. It ranks high (No.
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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.
datapine
MAY 31, 2022
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. Cost management and containment.
Speaker: William Hord, Vice President of ERM Services
A well-defined change management process is critical to minimizing the impact that change has on your organization. Leveraging the data that your ERM program already contains is an effective way to help create and manage the overall change management process within your organization.
CIO Business Intelligence
OCTOBER 29, 2024
The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value. Years later, here we are.
CIO Business Intelligence
JULY 25, 2024
The outage put enterprises, cloud services providers, and critical infrastructure providers into precarious positions, and has drawn attention to how dominant CrowdStrike’s market share has become, commanding an estimated 24% of the endpoint detection and response (EDR) market. It also highlights the downsides of concentration risk.
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. Do we understand and articulate our bank’s risk appetite and how that impacts our business units? How are we measuring and rating our risk impact, likelihood, and controls to mitigate our risk?
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. You'll come away from the webinar understanding: Why ECM still poses business challenges.
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. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
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