Sanjay.Srivastava

Contributor

Sanjay Srivastava currently serves as the chief digital officer at Genpact(NYSE: G), a global professional services firm focused on delivering digital transformation for clients, putting digital and data to work to create competitive advantage. Genpact has more than 77,000 employees across 20+ countries.

Sanjay runs Genpact’s digital business, and is responsible for the Genpact Cora Platform, and all associated digital products and consulting services across digital core, data analytics, and artificial intelligence technologies.

Previously, Sanjay was a Silicon Valley serial entrepreneur, and helped build four successful startups in various disruptive technologies: streaming networks (acquired by Akamai), data center virtualization software (acquired by BMC), predictive algorithm enterprise software (acquired by FIS), and net-native enterprise finance applications (acquired by Genpact). He also has held P&L and operating leadership roles in global sales, product engineering, and technical services (at SunGard, Akamai and Hewlett Packard), all in leading technology spaces.

Sanjay is based in Palo Alto, California.

The opinions expressed in this blog are those of Sanjay Srivastava and do not necessarily represent those of IDG Communications, Inc., its parent, subsidiary or affiliated companies.

Articles by Sanjay.Srivastava

Recognizing and solving for AI bias
Competing in a Digital First World

Recognizing and solving for AI bias

AI is unlocking tremendous value for businesses by solving many last-mile automation problems that previous waves of technology could not address. But just like any technology early in its evolution and application, there are a few things to watch out for – and unintended bias tops the list. Proper design and rigorous planning can mitigate the issue.
July 31, 2018
Top 3 practical considerations for AI adoption in the enterprise
Competing in a Digital First World

Top 3 practical considerations for AI adoption in the enterprise

More companies are investing in AI. However, to succeed, they need to make practical considerations for explaining its reasoning, low-data density environments, and the need for richer knowledge graphs.
July 2, 2018
The path to explainable AI
Competing in a Digital First World

The path to explainable AI

As more and more enterprises use artificial intelligence to make decisions on their behalf, governance is critical, and traceability into AI reasoning paths key to build trust from customers, employees, regulators, and other key stakeholders.
May 21, 2018
How to determine the value of enterprise data
Competing in a Digital First World

How to determine the value of enterprise data

The value of data is getting increasing attention from boards and CXOs as digital technologies disrupt entire industries, so getting a handle on the enterprise value of data is becoming more important for most corporations.
April 16, 2018
Leveraging analytics across the enterprise
Competing in a Digital First World

Leveraging analytics across the enterprise

Unlocking the value of data will be more and more a part of the digital transformation of enterprises.
March 8, 2018
5 top trends driving digital agendas in 2018
Competing in a Digital First World

5 top trends driving digital agendas in 2018

Digital technologies will continue to offer companies the opportunity to radically alter their business models, transform operations and create better customer experiences.
January 30, 2018
Game changer or jobs at risk? AI and work of the future
Competing in a Digital First World

Game changer or jobs at risk? AI and work of the future

While much of the discourse around AI and automation has been concerned with the looming threat to the workforce, this ignores the fact that history has shown disruptive technologies often lead to progressive evolution.
December 21, 2017
Defining AI: reasoning, interaction and learning
Competing in a Digital First World

Defining AI: reasoning, interaction and learning

What is possible today is represented by the intersection of these three fields. Progressive CIOs and other executives must pick the business use cases that are at this intersection to get the most out of AI.
November 9, 2017
Why RPA implementations fail
Competing in a Digital First World

Why RPA implementations fail

RPA hype is at an all-time high, with an alphabet soup of providers and offerings. Industry watchers are declaring RPA a must-evaluate technology, and some are heralding the start of the next industrial age. Software providers on both ends of the automation/AI spectrum scramble to incorporate new capabilities and meet in the middle, Given all that, one fact is often lost – many RPA implementations actually fail.
September 19, 2017
Bimodal transformation: Avoiding five common pitfalls to success
Competing in a Digital First World

Bimodal transformation: Avoiding five common pitfalls to success

A bimodal transformation approach can instill innovation, provide a less-risky way to experiment, and encourage change. But it's critical that companies stay focused on a well-defined project plan and keep sight of any potential impediments to success.
August 22, 2017
Three ways to make sense out of dark data
Competing in a Digital First World

Three ways to make sense out of dark data

To address the challenge of dark data, use artificial intelligence to unlock unstructured data, deploy modular and interoperable digital technologies, and build traceability into core design principles.
July 25, 2017
How computational linguistics went from Cold War communications to transforming enterprise work
Competing in a Digital First World

How computational linguistics went from Cold War communications to transforming enterprise work

The Cold War is often cited as the starting point for the scientific work around natural language processing (NLP) that has since evolved into computational linguistics, an artificial intelligence (AI) technology now in commercial use. The story goes, the phrase “The spirit is willing, but the flesh is weak” once used to test the work that had been done, translated to Russian and back to English as “The vodka is strong, but the meat is rotten.” To say this technology’s earliest forms had challenges is quite an understatement, but the reality is we have come a long way since then. Businesses today inform risk, operations, and performance decisions in the same way we had, with limited success back then, aspired to inform diplomatic, political, and military actions. This article explores the evolution of computational linguistics, and provides current and practical applications for enterprises today.
June 26, 2017