IT talent shortages remain an ongoing challenge in 2023 and tech leaders are forced to implement new strategies to keep their orgs equipped for the digital future. As the demand for tech talent continues to grow, how are leaders responding to the skills gap? Are forward thinking tech executives reskilling & upskilling their workforce, using AI to augment human capabilities, or investing in a combination of both?
Our panel of experts share their advice for using automation to lead digital transformation while continuing to nurture your talent and empower employees. From professional development strategies to intelligent automation trends, AIOps best practices, and more - this roundtable gives today's tech leaders the insights they need to succeed in 2023.
David Yakobovitch is a Global Product Lead at Google, where he builds data products for Google Ads. He is actively involved in the startup ecosystem through his investments at DataPower Ventures and Tech Dinner Series, which connects founders and venture capitalists. He is also an avid podcast host for both the AI (HumAIn Podcast) and FinTech (Voice of FinTech Podcast) industries.
Before Google, David led Technical Enablement at SingleStore, an HTAP cloud database. Previously, he led Enterprise Data Science Professional Services at Galvanize and General Assembly.
Jennifer Glenski is a Director of Product Management for BMC Software, where she oversees the product management activities in the BMC Innovation Lab, focusing on data and automation initiatives. Jennifer is also an advisor to an AI startup in healthcare, and part-time faculty at Georgia Tech in their graduate analytics program.
Prior to joining BMC, Jennifer was the AI and Machine Learning Practice Lead for IntelliDyne, where she managed advanced analytics programs and advised clients on digital transformations in the public sector. She is a recognized leader in technology, recently honored with AFCEA’s 2022 40 Under 40 Award for significant contributions in a technical field through innovation, and the 2022 Women Tech Network Community Award for being an exemplar leader in tech. Jennifer holds a master’s degree in Analytics from Georgia Tech, and a bachelor’s degree in Mathematics from Minnesota State University Moorhead.
Greg Coquillo leveraged his non-traditional career track as a way to break into tech and make a mark. As a first-generation immigrant to the US coming from Haiti, his previous goal was to change his home country's landscape through the launch of manufacturing initiatives. This led him to acquire a bachelor's degree in Industrial Engineering, followed by a master's in Engineering Management. But post-grad school opportunities allowed him to remain in the US, and during his early career in manufacturing, he found passion in using data to generate business value. As a former Lead Product Manager for a pharma and chemical company, he built strategic data pipelines that optimized pricing and margin for a global portfolio of products. Today, Greg works at a FAANG, where he reduces cognitive overload for users by delivering AI/ML solutions. Greg is also a two-time Top Voice on Linkedin for AI, Data Science, Technology and Innovation, who grew his community to 160K+ followers by providing thought leadership to business execs, startup founders and data professionals at large."
Daniel Wu is a technical leader who brings more than 20 years of expertise in software engineering, AI/ML, and high-impact team development. He is the Head of Commercial Banking AI and Machine Learning at JPMorgan Chase where he drives financial service transformation through AI innovation. His diverse professional background also includes building point of care expert systems, co-founding an online personal finance marketplace, and building an online real estate brokerage platform.
Daniel is passionate about the democratization of technology and the ethical use of AI - a philosophy he shares in the computer science and AI/ML education programs he has contributed to over the years. He is a frequent speaker at industry conferences, gatherings of business leaders, and corporate training events. Daniel holds a computer science degree from Stanford University.
