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Partner Perspectives

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Trustworthy AI has to start with trustworthy data
  • Partner Perspectives
John J. Thomas is a vice president and distinguished engineer at IBM Expert Labs. He leads elite technical teams that work with IBM clients to implement Data Fabric, Data Science/AI/ML, and enterprise AI solutions. His responsibilities include business execution, technical direction and thought leadership in these domains. John has been championing Trustworthy AI to ensure guardrails across all stages of the AI lifecycle. A lifelong learner, John has a passion for client success and leading high-performance teams. John is an Open Group Certified Thought Leader in Data Science and a member of the IBM Academy of Technology.
Executive Spotlight: Rev's Joel Susal
  • Partner Perspectives
AI Business Contributor Chris Price talks to Joel Susal, Senior Director of Product, Platform & AI at Rev, about how its super-fast and accurate speech-to-text solutions are powering the world’s voice and video applications.
Demystifying machine learning
  • Partner Perspectives
Building an ML pipeline can be challenging, from the lingo to the unfamiliar approaches. DoiT International’s Mike Sparr provides some detailed definitions and explanations
AI for predictive agriculture
  • Partner Perspectives
Machine learning and artificial intelligence are the tools that will drive farmers forward
How to ensure fairness in AI in financial services
  • Partner Perspectives
Modelling for the “average” customer is exclusionary and creates biased models that deliver unfair decisions for many, which is an increasingly untenable operational model for financial services organizations
AI is a team sport: Here’s how you can build a winning squad
  • Partner Perspectives
Today, many companies still look to hire “data unicorns” — that is, supernatural all-in-one data wizards who possess the entire range of skills that the organization needs to reach their AI goals. Not only is this an expensive and unrealistic strategy, but upon mapping out what the business needs and the skills required to fill those needs, it probably doesn’t make sense either
How trustworthy AI sustains your digital advantage
  • Partner Perspectives
Companies can't afford the built-in delay or risk that comes with continuously moving or copying data. A trustworthy AI foundation allows them to act on trusted data in the moment, anywhere it lives and as it grows
Can AI regulators learn from the life sciences?
  • Partner Perspectives
Bristows lawyers Alex Denoon and Julian Hitchcock look at previous efforts to regulate life sciences because 'no industry is more familiar with technological hype, ethical complexity, and the difficulties of future-proofing'
Blockchain and AI: A perfect match
  • Partner Perspectives
Haidrun CEO Jonas Lundqvist explores the potential of integrating blockchain and artificial intelligence technologies
The balancing act of AI in the enterprise
  • Partner Perspectives
We can’t treat AI as a standalone technology - instead, it’s an interdisciplinary domain that requires a diversity of viewpoints and objectives
The future of workplace wellbeing: Leveraging AI
  • Partner Perspectives
As we readjust to changing workflows and lifestyles, AI presents an unparalleled opportunity to revolutionize mental healthcare at a crucial moment in time. Koa Health's Oliver Harrison explains how
Does AI have a home in the lab?
  • Partner Perspectives
Gerald Law, chief executive at Innovation DB, explains why human intelligence can never be entirely replaced by AI in the laboratory environment
The next five years in AI adoption
  • Partner Perspectives
While the AI landscape for business might seem fraught with uncertainty, take a deep breath and know that you can be in control by considering these five principles


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