CIO Business Intelligence
NOVEMBER 8, 2024
AI coding agents are poised to take over a large chunk of software development in coming years, but the change will come with intellectual property legal risk, some lawyers say. This means the AI might spit out code that’s identical to proprietary code from its training data, which is a huge risk,” Badeev adds. How was the AI trained?
Analytics Vidhya
JULY 27, 2023
While some believe that AI will merely complement human efforts, Altman holds a different view, asserting that […] The post OpenAI CEO Sam Altman: Jobs at Risk as AI Proves Its Might appeared first on Analytics Vidhya. In a recent interview, Altman delved into the impact of AI on jobs and humanity as a whole.
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CIO Business Intelligence
JANUARY 6, 2025
One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley. Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space.
CIO Business Intelligence
NOVEMBER 7, 2024
The UK government has introduced an AI assurance platform, offering British businesses a centralized resource for guidance on identifying and managing potential risks associated with AI, as part of efforts to build trust in AI systems. About 524 companies now make up the UK’s AI sector, supporting more than 12,000 jobs and generating over $1.3
Speaker: Dr. Karen Hardy, CEO and Chief Risk Officer of Strategic Leadership Advisors LLC
Communication is a core component of a resilient organization's risk management framework. However, risk communication involves more than just reporting information and populating dashboards, and we may be limiting our skillset. Storytelling is the ability to express ideas and convey messages to others, including stakeholders.
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. We ought to heed Collingridge’s warning that technology evolves in uncertain ways.
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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: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
Fortunately, digital tools now offer valuable insights to help mitigate these risks. In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. That’s where data-driven construction comes in.
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. It is the tangents of this data that are vital to a successful change management process.
Speaker: Ramli John, Managing Director at ProductLed and Author
So, if their first date with your product is anything but silky-smooth, you risk losing out to the competition. So, if their first date with your product is anything but silky-smooth, you risk losing out to the competition. Your platform is littered with dead accounts that are taking up valuable space. Let’s face it.
Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica
How to make the right architectural choices given particular application patterns and risks. When it comes to the modern tech stack, one of the fastest changing areas is around containers, serverless, and choosing the ideal path to cloud native computing. Tradeoffs and key considerations for when to leverage Containers or Serverless.
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