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From buzzword to business reality: An industry framework for generative AI readiness
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From buzzword to business reality: An industry framework for generative AI readiness
NASDAQ CM: GDYN
$19.69
Dec 19, 2024 11:27 AM EST
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quote It’s time to strategically amplify your impact in the ever-evolving landscape of generative AI across industries. Embrace the challenge proactively or have your relevance shaped for you by force.

As every industry is looking for ways to leverage generative AI for their needs and gain a competitive edge, there’s one question on every business executive’s mind today.

“How can I apply generative AI to my business?”

As you embark on your generative AI journey and think about leveraging tools to support specific tasks, you first need to set yourself up for success.

In this ebook, we’ll help you cut through the buzz and look at generative AI applications across industries — healthcare and pharma, retail, manufacturing, financial services and insurance, and others — with a crawl, walk, run readiness framework, and by answering the right questions.

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What are the necessary foundations your organization needs to support generative AI applications?
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What are some production-ready use cases that you can immediately implement?
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What are some midterm and long-term applications that you can plan for?
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What are the risks of generative AI that you need to be mindful of?

Crawl, walk, or run: choose your own AI adventure

Crawl, walk, or run: choose your own AI adventure

Crawl Crawl
Start with low-risk production-ready use cases

Example: Pharma companies can use large language model (LLM) based generative AI to create quick access guides for new products and services by summarizing large chunks of product-related data into key objectives and impact points.

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Walk Walk
Experiment with various tools to solve problems innovatively

Example: Manufacturers can make complex data more understandable for everyone within the ecosystem by connecting supply chain dashboards with ChatGPT via an API, enabling the workforce to address quality issues more promptly.

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Run Run
Get your entire organization on board to maximize output

Example: Retailers can hyper-personalize customer journeys, build stronger relationships with customers, and prevent churn with generative AI-based conversational search that looks up products, answers questions on the fly, and converses with customers as a human shopping assistant would.

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About contributors
Rohit Tripathi
Rohit Tripathi
Principal, CTO Office

Rohit has 25 years of product management & leadership experience in supply chain, B2B & CPaaS software. Before joining Grid Dynamics, he held leadership roles at Honeywell, SAP, The Boston Consulting Group & i2 Technologies (now Blue Yonder). He holds an MBA with high honors from Booth School of Business, University of Chicago; an M.S. in Engineering from Iowa State University, and a B.TECH. from IIT Kanpur. He has also been elected to various honor societies in the field of business and engineering based on his accomplishments. 

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Sethuram Sankarasubramaniam
Sethuram Sankarasubramaniam
Head of Customer Success – Healthcare & Life Sciences

Sethuram has over two decades of international experience in the IT industry, driving revenue growth and digital business transformation initiatives. He has supported various industry verticals across geographies but his focus in the last ten years has been on life sciences and regulated industries. He has experience winning, leading and executing large IT projects leveraging global delivery models for many large and multinational enterprises, and has successfully completed engagements ranging from mid-size organizations to large global corporations.

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Leo Shulman
Leo Shulman
VP, Insurance Practice Lead

Leo is an experienced Information Technology Services Executive with 25+ years of excellent performance, successfully leading sales, client relationship management and technology services for enterprise global customer engagements across North America. With foundational experience from Accenture and GE, including Six Sigma certification, he has a proven track record of leading joint ventures and strategic partnerships with the largest Baltic Telco, leading technology companies, and three of the top 5 US Cable operators.Stan is an accomplished Silicon Valley technology executive. Before joining Grid Dynamics, he consulted in product development and also founded Tonomi, a venture-backed cloud management startup catering to Fortune 500 companies. Stan holds a Masters degree in CS/EE from Saratov State University.

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Eugene Steinberg
Eugene Steinberg
Technical Fellow, Head of Digital Commerce

Eugene Steinberg is the founding engineer at Grid Dynamics and the head of the Digital Commerce practice. As a Technical Fellow 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, applications of AI/ML to commerce, information retrieval, enterprise search, natural language processing, computer vision, as well as the general science & art of building scalable distributed systems. Eugene earned a Ph.D. in Applied Math from Saratov State University.

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Ilya Katsov
Ilya Katsov
VP of Technology

Ilya joined Grid Dynamics in 2009, and soon started leading engagements with a number of major retail and technology companies, focusing primarily on Big Data, Machine Learning, and Economic Modeling. He currently manages all technology verticals and delivers innovative AI solutions. Ilya is the author of several scientific articles, international patents, and books, including “Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing Operations” (2017), and “The Theory and Practice of Enterprise AI: Recipes and Reference Implementations for Marketing, Supply Chain, and Production Operations” (2022). Stan is an accomplished Silicon Valley technology executive. Before joining Grid Dynamics, he consulted in product development and also founded Tonomi, a venture-backed cloud management startup catering to Fortune 500 companies. Stan holds a Masters degree in CS/EE from Saratov State University.

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