Скачать или смотреть Adapting to the Swift Evolution of Generative AI

Chapters:
0:00 Intro
0:36 Ethical Considerations
2:06 Role of Data Strategy in Gen AI
4:11 Steps Organizations Can Take to Educate Employees on AI
5:32 Conclusion

Join Mike Solinap, Head of Cloud and Infrastructure, and Michael Roberts, VP of Sales and Marketing at SPK and Associates, as they discuss the world of generative AI in this short 5-minute video. The rapid evolution of AI technologies poses both opportunities and challenges for businesses today.

In this video, Mike and Michael address critical questions:

Ethical Integration in AI: How can businesses weave ethical considerations into their AI projects to foster trust and minimize bias? Discover the importance of ethical guidelines, diverse data sets, regular audits for bias, and maintaining transparency with stakeholders.

Data Strategy for AI Effectiveness: What role does data strategy play in maximizing the benefits of generative AI, especially in environments with fragmented data? Learn about the significance of centralizing data through data lakes and catalogs to streamline AI applications.

Enhancing AI Fluency Among Employees: How can organizations improve their team's AI skills effectively? While expert training is scarce, explore available quality workshops, the value of internal knowledge sharing, and how SPK’s consulting services can align AI strategy with execution.

Watch now to gain insights on how to adapt to and leverage the fast-paced developments in generative AI, ensuring your business remains at the forefront of innovation and efficiency. Don't forget to like, comment, and subscribe for more expert insights from SPK and Associates!

ABOUT SPK AND ASSOCIATES
SPK and Associates (https://www.spkaa.com/) is a leading woman-owned Engineering & IT Services Company that serves product and software development teams. For 20 years, we have helped our customers harness technology to optimize engineering and attain their business goals. We understand the systems, processes, data and applications critical to successful product development, and dedicate ourselves to helping you build, test, and release your products faster and better. Our core expertise covers four functional areas:

– Product Lifecycle Management (PLM, PDM, QMS, MCAD, ECAD) - https://bit.ly/3nr3D6F
– Software Lifecycle Management (ALM, DevOps) - https://bit.ly/3JSK3HQ
– Cloud for Engineering (Infrastructure, Security) - https://bit.ly/3nrVD54
– Data Engineering and Analytics - https://bit.ly/3KcmMlx

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