CIO Business Intelligence
APRIL 8, 2025
Risk is inescapable. A PwC Global Risk Survey found that 75% of risk leaders claim that financial pressures limit their ability to invest in the advanced technology needed to assess and monitor risks. Yet failing to successfully address risk with an effective risk management program is courting disaster.
CIO Business Intelligence
DECEMBER 11, 2024
Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose. Lack of oversight establishes a different kind of risk, with shadow IT posing significant security threats to organisations. Strong data strategies de-risk AI adoption, removing barriers to performance.
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CIO Business Intelligence
JANUARY 14, 2025
To counter such statistics, CIOs say they and their C-suite colleagues are devising more thoughtful strategies. Here are 10 questions CIOs, researchers, and advisers say are worth asking and answering about your organizations AI strategies. How does our AI strategy support our business objectives, and how do we measure its value?
Analytics Vidhya
JULY 6, 2022
Introduction Investing Strategies are essential since they determine whether you gain or lose money. Investing strategies vary depending on the investor’s risk appetite and goals (long term or short term). The post Cryptocurrency Investing Python Strategy appeared first on Analytics Vidhya.
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.
O'Reilly on Data
JUNE 27, 2023
Welcome to your company’s new AI risk management nightmare. Before you give up on your dreams of releasing an AI chatbot, remember: no risk, no reward. The core idea of risk management is that you don’t win by saying “no” to everything. So, what do you do? I’ll share some ideas for mitigation.
O'Reilly on Data
APRIL 30, 2024
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. However, there is one class of AI risk that is generally knowable in advance. It is a predictable economic risk.
Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica
How to make the right architectural choices given particular application patterns and risks. The session will cover a lot of ground, including: An overview of Containers and Serverless technologies with a focus on key differences. Tradeoffs and key considerations for when to leverage Containers or Serverless.
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This whitepaper offers real strategies to manage risks and position your organization for success. IT leaders are experiencing rapid evolution in AI amid sustained investment uncertainty. As AI evolves, enhanced cybersecurity and hiring challenges grow.
Speaker: Ryan McInerny, CAMS, FRM, MSBA - Principal, Product Strategy
With 20% of Americans owning cryptocurrencies, speaking "fluent crypto" in the financial sector ensures you are prepared to discuss growth and risk management strategies when the topic arises. May 18th, 2023 at 9:30 am PDT, 12:30 pm EDT, 5:30 pm BST
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They rely on data to power products, business insights, and marketing strategy. From search engines to navigation systems, data is used to fuel products, manage risk, inform business strategy, create competitive analysis reports, provide direct marketing services, and much more.
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Unfortunately, data replication, transformation, and movement can result in longer time to insight, reduced efficiency, elevated costs, and increased security and compliance risk. What to consider when implementing a "no-copy" data strategy. How replicated data increases costs and impacts the bottom line.
Speaker: Jon Harmer, Product Manager for Google Cloud
You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap. Understand how your work contributes to your company's strategy and learn to apply frameworks to ensure your features solve user problems that drive business impact.
Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo
Strategies to avoid the risks of modernization by future-proofing your organizational infrastructure. He will share compelling stories from customers that have chosen a different path, and best practices for Information Management professionals to help them along their way. February 27, 2020 9:30AM PST, 12:30PM EST, 5:30PM GMT.
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.
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