Acuvate
SEPTEMBER 2, 2023
Among the numerous technological advancements of our era, Generative AI stands a world ahead, like the true trailblazer that it is. Generative AI has the potential to reshape the workplace and the way businesses engage with customers. What is Generative AI and Why Enterprises Need to Care?
Harvard Business Review
JANUARY 15, 2024
Although cultural change generally requires human intervention, it appears that new technology — especially a new technology like generative AI that captures human imaginations — can play a role in catalyzing a data-oriented culture.
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Entrepreneur - Innovation
MARCH 10, 2023
Here are three potential ways that entrepreneurs can take advantage of AI. OpenAI's ChatGPT is still in its early stages and has the potential to eventually become more powerful than Google.
Leapfrogging
MARCH 19, 2024
AI technologies offer unprecedented capabilities in data analysis, pattern recognition, and predictive modeling, which can significantly enhance the efficacy of the Stages and Gates process. AI technologies include machine learning, natural language processing, robotics, and computer vision.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
January 18th, 2023 at 9:30am PST, 12:30pm EST, 5:30pm GMT
Carla Johnson
SEPTEMBER 26, 2023
September 26, 2023 There’s a hefty amount of apprehension and trepidation around generative AI – technologies that can create content such as audio, text, images, and video. Being outsourced by technology. And with good reason. People are nervous about getting pushed out of their job by machines.
Thinkers360 - Thought Leader Interviews
DECEMBER 26, 2023
Focus Areas: HealthTech, Health and Wellness, Emerging Technology. She is featured, in Thinkers360’s annual Leaderboards Top 50 Global Thought Leaders and Influencers on Health and Wellness 2023 , and Announcing the Thinkers360 Top Voices EMEA 2023 , among others.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
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