Dynamic Talks: Digital Transformation in the Enterprise

About the speaker:

Lorri Rowlandson is Senior Vice President, Strategy and Innovation at BGIS. She works globally with clients and BGIS team members to assist them with real estate transformations. She is an advisor to C-Suite real estate executives, consulting on a wide variety of topics to define and drive best outcome for clients.

Lorri is a hands-on thought leader, leading strategic transformation initiatives for key clients on a wide variety of topics, including corporate real estate, employee experience design, cost reduction and smart buildings.

In addition to supporting clients, Lorri is a highly sought-after industry expert and regularly participants in speaking engagements on emerging trends, innovation and thought leadership on a wide variety of topics in real estate and outsourcing.

About the speaker:

Ilya joined Grid Dynamics in 2009, and since then has been leading engagements with a number of major retail and technology companies, focusing primarily on Big Data, Machine Learning, and Economic Modeling. He is currently managing the Industrial AI consulting practice that helps clients to become successful AI adopters and deliver innovate AI solutions. Prior to joining Grid Dynamics, Ilya worked at Intel Research on emerging wireless communication technologies. He is the author of several scientific articles and international patents, and also authored a book, “Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing Operations” (2017).

Abstract: Given the rapid acceleration of e-commerce during the pandemic (10 years of adoption compressed into three months), digital commerce websites have needed to be prepared for higher footprints and be more concerned about data privacy and governance as more data is collected. Enterprise data users including executives, analysts, data engineers, data scientists, and product management want fast and frictionless access to data and derived insights. At eBay, our data insights need to be as current as possible so we can improve the customer experience and make it “sticky” to adapt to dynamic scenarios. We follow best practices in Data Discovery, Data Transformation, Data Governance, and Data Access to collect, govern and organize eBay data in a meaningful way to power better selling experiences, risk and fraud detection, buyer experiences, and more.

About the speaker:

Ishita Majumdar is the VP of Data Analytics Platforms in eBay’s CTO organization. Her organization empowers eBay to drive towards data-driven decision-making using the full spectrum of data analytics technologies, platforms, and tools. She is a 20-year industry veteran with experience in architecture, strategy, product management, and data modeling in Telco (Motorola, IBM, Huawei) and startup accelerators (Plug and Play Tech Accelerator).

Ishita was named among the Top 10 Women of the Year and Diversity Initiative of the Year by Women in IT Awards in 2019. She is a data, tech, and diversity speaker and mentor to many.

Abstract: Sports programming holds the power to engage audiences like no other entertainment format. Consequently, marketers are keenly interested in aligning with popular leagues, teams, and athletes to reach fans and build positive associations with their offerings. Nielsen leverages long-running data science expertise along with advanced technologies to provide innovative valuation solutions to the global sports industry and meet the needs of marketers.

Join Solomon Kahn for a presentation on how Nielsen Sports transformed a key product offering by implementing AI and computer vision in order to solve the biggest challenges in sports sponsorship.

About the Speaker:

Solomon Kahn is a VP of Product & Analytics at Nielsen. He leads the product team at Nielsen Sports, where he is responsible for the AI and ML systems that generate the world’s most valuable sports sponsorship dataset. He also leads a global team of Analysts who generate actionable data and insights for the world’s largest rights holders and brands.

Prior to joining Nielsen, he built data products for Fortune 500 companies as an Entrepreneur and Data Scientist at a Bionic and ran the data team at Paperless Post, a New York-based startup. Before getting into the world of data science, Solomon worked as an analyst in the finance industry, after studying Operations Research at Columbia University.

Abstract: Artificial intelligence is getting wide adoption by the digital commerce industry leaders to provide differentiated customer experience and drive efficiency. In this talk, we will discuss pragmatic applications of AI and ML that reshape business operations, open new customer engagement channels and boost profits in digital commerce.

About the speaker:

Eugene Steinberg is the founding engineer at Grid Dynamics and the head of the Digital Commerce practice. As a Principal Architect and Consultant, Eugene has delivered some of the most extensive Grid Dynamics programs, from inception to production to maturing. Eugene has many interests, including digital commerce platforms, application of AI/ML to commerce, information retrieval, enterprise search, natural language processing, computer vision, as well as general science & art of building scalable distributed systems. Eugene earned a Ph.D. in Applied Math from Saratov State University.

Panelists:

• Ted Schadler, Vice President & Principal Analyst, Forrester Research
• Rajeev Sharma, Chief Technology Officer, Grid Dynamics
• Sahab Aslam, Data Science Faculty, UC Berkeley
• Mohammed Owais Nasir, Director, Digital Platform Solutions, Aon

Abstract: We are at a unique point in history. The building blocks of digital business are readily available, and the pandemic has created the urgency and the opportunity to think differently and work differently. Most organizations have made big strides in laying the foundations for creating digital products and experiences, empowering employees with insights and tools, and overhauling their operations and business models. So what's next? We believe that creativity is the next force of differentiation and growth.

In this open discussion, we will explore these topics:

• What are the new priorities now that cloud, analytics, and software building blocks are readily available?
• How are organizations scaling up their digital skills and practices to infuse new approaches into every facet of work and engagement?
• How do creativity, design, and innovation come together to energize a new way of thinking and working?
• How can you organize to bring business, operations, and technology teams together in a coordinated and agile process?

Abstract: In this session, Dmitry will talk about automating manual detection of anomalies by building a data platform and providing data science teams with the right tools and data to create ML models. It will cover two major aspects: automating manual work and migrating to the cloud.

About the speaker:

Dmitry started his career eight years ago after obtaining his Master’s Degree in computer science but didn’t find his niche until six years ago when he began working in the Big Data area. He joined Grid Dynamics 4.5 years ago and has worked on various Big Data projects since. One of the major projects, iCrossing, was a huge success as we built a high-performing Big Data platform. Dmitry continues to work in Big Data for Grid Dynamics and is currently on-site at a large retailer.