Webinar How to Make AI Work for E-commerce? – Software House That Helps You Innovate

Free webinar

How to increase profit by 25% of an online shop with AI?

Tuesday, 23 July, 9AM ET

With Greg Gwozdz

Expert in AI, Machine Learning, and Big Data. CTO at Neoteric,

Creator and Chief Everything Officer at SaaSMgr

67 free places left

During this webinar, Greg will share his expertise on overcoming challenges with AI in e-commerce. With over 10 years of experience in the IT, Greg has built a portfolio of Cloud, Big Data and AI for the Fortune 500 companies. If you want to integrate AI in your e-commerce business, join us!

During the webinar you will learn about

Datasets used to predict audience propensities and customer behaviors

Extracting more information from data you already have

Providing excellent product recommendation

Building AI in-house vs. using off-the-shelf product vs. hiring a consulting partner

Greg Gwoźdź

Expert in AI, Machine Learning, and Big Data. CTO at Neoteric, Creator and Chief Everything Officer at SaaSMgr – an enterprise software that uses Artificial Intelligence and cloud computing to help telecoms, insurance, and B2C subscription-based services understand their customers better, reduce churn and multiply Customer Lifetime Value.

Margo Ovsiienko

Margo creates content that converts leads into paying customers for SaaS industry. She has been building sales funnels in various marketing agencies helping companies make the process of lead gen and sales more predictive.

Jay Natarajan

Jay Natarajan is a Principal Data Engineer within Azure Engineering organization at Microsoft. Jay’s passion is to engage with brands to evolve and advance their business in a rapidly changing environment and apply Data & AI for current problems and identify future trends to navigate their digital transformation with Microsoft’s cloud solution. Jay has extensive industry experience and has been leading customers by translating the next-gen business problems into simplified streamlined actionable business applications through AI technologies such as Bots, Text Analytics, big data, and deep learning. Jay is interested in expanding how AI can be leveraged to solve business problems while achieving transparent controls with privacy. Jay holds a bachelor of science in mechanical engineering from University of Madras, India.