cognizant
At TIME100 Impact Dinner, AI Leaders Talk How AI Can Transform Business
Artificial intelligence is transforming the business world in ways we couldn't have imagined until recently. Just how--and what the future holds--was the topic of a panel discussion at the TIME100 Impact Dinner: Leaders Shaping the Future of AI in San Francisco on Monday moderated by TIME's executive editor Nikhil Kumar. The panelists were Ravi Kumar S, CEO of Cognizant, which sponsored the event; Athina Kanioura, chief strategy and transformation officer at PepsiCo, which also sponsored the event; and Jared Kaplan, co-founder and chief science officer at Anthropic . Ravi Kumar and Kaplan both featured on the 2025 TIME100 AI list, which highlights the 100 most influential people in AI this year, from computer scientists to business leaders to policy makers and artists. "One of the things about the public conversation about AI is that quite often it is focused on the companies behind the technology and what they are doing," said TIME's Nikhil Kumar when introducing the panel.
At TIME100 Impact Dinner, AI Leaders Discuss the Technology's Transformative Potential
Inventor and futurist Ray Kurzweil, researcher and Brookings Institution fellow Chinasa T. Okolo, director of the U.S. Artificial Safety Institute (AISI) Elizabeth Kelly, and Cognizant CEO Ravi Kumar S, discussed the transformative power of AI during a panel at a TIME100 Impact Dinner in San Francisco on Monday. During the discussion, which was moderated by TIME's editor-in-chief Sam Jacobs, Kurzweil predicted that we will achieve Artificial General Intelligence (AGI), a type of AI that might be smarter than humans, by 2029. "Nobody really took it seriously until now," Kurzweil said about AI. "People are convinced it's going to either endow us with things we'd never had before, or it's going to kill us." Cognizant sponsored Monday's event, which celebrated the 100 most influential people leading change in AI. Jacobs probed the four panelists--three of whom were named to the 2024 list--about the opportunities and challenges presented by AI's rapid advancement.
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Cognizant to advance Garuda Aerospace drones with digital technologies - Agriculture Post
Cognizant today announced that it has signed a memorandum of understanding (MoU) with Garuda Aerospace, one of India's leading drone startups, to power its drones with advanced digital capabilities and bring innovative solutions at scale for enterprises aiming to achieve greater agility, productivity, and overall outcomes. "We are excited to collaborate with Garuda Aerospace, combine our deep industry knowledge with capabilities such as advanced data analytics, real-time insights and software development to elevate drone-based solutions and new use cases for enterprises across sectors," said Achal Kataria, Vice President and India Country Head, Cognizant. "Drone services are one of the fastest growing technology segments with the potential to provide extraordinary value to industries such as agriculture, manufacturing, energy and utilities, retail and logistics," Kataria added. Cognizant and Garuda Aerospace are collectively set to bring a plethora of end-to-end drone-based management and monitoring offerings for businesses across sectors. For the agriculture sector, a new offering provides intelligent water and soil management, crop spraying, and aerial planting, among others.
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Remote Python Developer openings in Boston on August 16, 2022 – Python Jobs
PLUSSES • MAJOR PLUS – Background in streaming/media/video broadcasting • Experience with CDN concepts or working with streaming video • Docker and Kubernetes (as a developer) • Experience working with other metric vendors: Mux, Cedexis, Conviva, etc. • An understanding of TCP/IP concepts and how the internet works (ASNs) As a Sr. Software Engineer, you'll be working across the VDE organization to create new features, APIs, tooling, and processes that innovate in the video delivery and experience space and play a large role in enabling internal users and partners to use and extend our core systems. You will start off focusing on our video delivery observability suite to supplement data engineering efforts to ingest, query, and action on billions of daily rows of CDN and streaming workflow data. This could be working on methods to ingest new data sources into our analytics pipeline, exposing operational tooling via HTTP API, or develop rule driven systems for root-cause-analysis and rule-based alerting. This role is great for someone looking to bounce around to different systems and play a visible role in both carrying out development efforts, but also collaborating and planning with our team and stake-holders to push the platform in innovative directions. Paramount also wants to stay on the cutting edge and integrate with new technology in the space like CMCD, CMSD, and CDN-level request tracing.
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The Mugglehead technology roundup: artificial intelligence edition
Artificial intelligence is one of those highly misunderstood sectors. On one hand, science fiction authors and the regular assortment of floating head tech billionaires claim that AI is going to spearhead the decline of humanity as we coast past something they call the singularity, wherein computing power advances machine intelligence beyond man. The flipside of that argument involves AI ruining our economy by eliminating jobs. Some of that might be true. All of it might be true.
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Global Artificial Intelligence In Insurtech Market 2021-2027 Regional Analysis, Types, and Applications – Top Key Players as Cognizant, Next IT Corp, Kasisto, Cape Analytics Inc. - corporate ethos
Global Artificial Intelligence In Insurtech Market is a new publication from MarketQuest.biz that examines current, historical, and evolutionary patterns in the Artificial Intelligence In Insurtech business. The market is broken down into five major regions in the research. This part contains an overview of the company, a segment and brand overview, financial performance, and advancements made by the company to keep ahead of the competition. The prospective opportunities in the Artificial Intelligence In Insurtech market are assessed. Several variables have had or are having a significant impact on the market, according to the research.
How to accelerate Artificial Intelligence (AI): 9 tips
Artificial Intelligence (AI) has moved from "when will we do it?" AI passed some important tests during the pandemic, says David Tareen, director of AI and analytics at SAS. "The pandemic put AI and chatbots in place to answer a flood of pandemic-related questions. Computer vision supported social distancing efforts. Machine learning models have become indispensable for modeling the effects of the reopening process." But the future upside of AI is still considerable.
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If you're only using AI for chatbots, you're falling behind
Chatbots and call center support are table stakes when it comes to implementing artificial intelligence, according to a new report. Cognizant's Center for the Future of Work found that leaders are using the automated analysis for decision support, automated reasoning, text mining, and object and speech recognition. The research includes a survey of 1,000 business leaders that measures how organizations view the potential of AI and their plans for deploying AI-enabled tools. The data modernization report describes a vicious cycle that keeps companies from doing more with AI. A company has a low level of trust in the potential of artificial intelligence.
Why AI Will Help Define the Next Era of Business - Techonomy
In the near future artificial intelligence is going to be as fundamental for business success as cloud is becoming to running a company's information technology. And AI is where cloud was five years ago. People are realizing there's value here, and business leaders see that AI can help them fundamentally change how their company works, how they get work done, and how they serve customers. In a recent survey of 1200 companies, Cognizant and ESI ThoughtLab found that 64% of executives believe AI will be important to the future of their business. For the largest organizations, the figure was a stunning 85 percent!
Stop Experimenting with AI and Machine Learning
The ability to make fast, data-driven decisions has never been more valuable as businesses grapple with the shift toward hyper-personalisation, driven by rapidly changing customer behaviours and expectations. The pandemic has accelerated the imperative for businesses to invest in Artificial Intelligence (AI) and Machine Learning (ML) so they can replace guesswork with data-powered certainty to reorient strategy and optimize operations for success in an uncertain future. Nevertheless, enterprises often struggle to integrate these technologies at scale and monetize the benefits. Stumbling blocks typically include challenges associated with cost, lack of investment protection, undefined business outcomes, lengthy timeframes from development to deployment, lack of expertise, and the complexities of the regulatory landscape. Gartner predicts that by 2022, at least 50% of ML projects will not be fully deployed into production.