Infosys Knowledge Institute

Martech and data mastery are the difference makers between AI leaders and laggards. What are the key traits of high-performing CMOs in 2024? Full report: infy.com/3UT4fj5 As the digital landscape evolves, integrating AI into marketing strategies has become indispensable to unlock business value and stay competitive. Act now to transform your marketing operations. Infosys Aster Infosys Topaz WongDoody Blue Acorn iCi Insights by Jeff Mosier, Anand Bangalore, Phil Benton, Kari Connor, Béatrice Daillant, Rashmi Joshi, Samad Masood, Skyler Mattson, John Premkumar, Renee Quan-Knowles, Dylan Cosper, Balaji Sampath, Bruno Soeiro, David Paul Stocks, Aimee Sutton, Ian Thomas, Emily Wilhoit. #AIMarketing #DigitalTransformation #CMOLeadership #TechInnovation

Electricity demands could double by 2030. How is the energy industry evolving? Generative AI is playing a big role. Read Infosys Energy Outlook report: infy.com/3YPD0si As per our latest research, our forecast for generative AI spend by energy, mining, and utilities is growth from $571 million in 2023 to more than $1 billion in 2024 across the energy value chain. Authors: Joseph Alenchery, Jeff Kavanaugh, Sriram Sundar, Ramachandran S Contributors: Akshay Rathore, Shubha Kanetkar Infosys Topaz Infosys Consulting Infosys Energy Practice

What role does #AI play in upskilling workforces and creating digital knowledge bases? Watch to find out: infy.com/3BVBo7K Manoj Prasanna Kumar, Head of Enterprise Platforms, Singtel explores the role of AI in Singtel's enterprise solutions in a discussion with Infosys Knowledge Institute's Samad Masood. As AI is being used to enhance learning and upskill workforces through immersive training and digital expert systems, learn how AI-powered customer support solutions can help businesses deliver exceptional experiences while reducing costs. Join us at MWC Barcelona 2025 to meet our experts. Visit Booth #2E43 and explore what’s next: infy.com/3BflapH #InfosysAtMWC #MWC25 #DigitalTransformation #Technology #BusinessGrowth #Infosys #Singtel #EnterpriseSolutions #CustomerSupport #GenAI #InfosysIKI

Kris Narayan of NOVA chemicals explains a critical use case of advanced data analytics and machine learning. Full interview: infy.com/410a4iK NOVA Chemicals has leveraged cloud-based infrastructure to drive business intelligence, predictive analytics, and operational efficiency. Kris N. shares how NOVA Chemicals aims to be a top sustainable producer in Canada, with data and digitalization as core enablers. With the Knowledge Institute's Chad Watt. Infosys Cobalt Infosys Topaz Infosys Manufacturing #cloud #manufacturing #AI #data #engineering

Using agentic AI to take over whole parts of the process in symphony is going to be the next stage, says Phil Benton, AI experience leader at Infosys. Read CMO Radar 2024 for more: infy.com/3UT4fj5 As the digital landscape evolves, integrating AI into marketing strategies has become indispensable to unlock business value and stay competitive. Act now to transform your marketing operations. Infosys Aster Infosys Cobalt Infosys Topaz Infosys Consulting WongDoody Blue Acorn iCi Rafee Tarafdar Insights by Jeff Mosier, Anand Bangalore, Phil Benton, Kari Connor, Béatrice Daillant, Rashmi Joshi, Samad Masood, Skyler Mattson, John Premkumar, Renee Quan-Knowles, Kate Bevan, Snehal Bhosale, Dylan Cosper, Pramath Kant, Ph.D., Isaac LaBauve, Pragya Rai, Balaji Sampath, Bruno Soeiro, David Paul Stocks, Aimee Sutton, Ian Thomas, Emily Wilhoit. #AIMarketing #DigitalTransformation #CMOLeadership #TechInnovation

In the age of data-driven decision-making, CMOs find themselves leveraging AI. “The key lies in treating AI as more than just a tool — but as a strategic asset,” says Satish H.C., executive vice-president & chief delivery officer, Infosys. In this interview, he speaks to Sudhir Chowdhary on how this next-gen technology is redefining the role of marketers. Read Infosys CMO Radar here: infy.com/3UT4fj5 Infosys Aster Infosys Topaz WongDoody Blue Acorn iCi Insights by Jeff Mosier, Anand Bangalore, Phil Benton, Kari Connor, Béatrice Daillant, Rashmi Joshi, Samad Masood, Skyler Mattson, John Premkumar, Renee Quan-Knowles, Dylan Cosper, Balaji Sampath, Bruno Soeiro, David Paul Stocks, Aimee Sutton, Ian Thomas, Emily Wilhoit. #AIMarketing #DigitalTransformation #CMOLeadership #TechInnovation https://lnkd.in/g_4xrhzK

This week’s TechCompass explores the evolution of device infrastructure and life cycle management from horizon 1 to horizon 3, transitioning from manual processes to AI-driven systems that deliver flexibility, automation, and sustainability. #hybridwork #AI #futureofwork #DWS #deviceinfra Infosys Digital Workplace Services Infosys Consulting Infosys Topaz Rafee Tarafdar Chidambaram Ganapathi Ramesh Narayan Pragya Rai Vivin George Anshuman Agrawal Sumanth Suryanarayan Vijay Kumar Yadlapalli Pradeep Nair Sai Kuricheti JAGAN MOHAN REDDY K Moses Stanislaus Swamikannu Sreejith M Janardhanan Mohit Jain Saurabh Sharma Padma Bhamidipati

🚀 𝗜𝘀 𝘆𝗼𝘂𝗿 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘁𝗿𝘂𝗹𝘆 𝗔𝗜-𝗿𝗲𝗮𝗱𝘆? The latest research from Infosys Knowledge Institute reveals that while enterprise AI has the potential to boost productivity by up to 40%, only 2% of companies are fully prepared across all critical aspects—strategy, governance, and talent. As Jeff Kavanaugh, Head of Infosys Knowledge Institute, emphasizes: “Those who act now – by building a clear AI strategy, including gen AI, establishing strong governance, and upskilling talent – will not only lead the next wave of innovation but will fundamentally reshape their industries. AI is not a distant goal; it is the prerequisite foundation for future competitiveness. The time to invest in AI readiness is now.” Our infographic breaks down what it takes to bridge the readiness gap and seize the opportunities AI offers. 🧠📊 💡 How is your business preparing to lead in the AI-driven future? ➡️ Explore NTQ America's AI implementation and consulting services: https://lnkd.in/g-4iX7KB ➡️ Read the research in full: https://lnkd.in/gwKYQKEj #AI #EnterpriseAI #DigitalTransformation #Innovation #FutureOfWork #GenAI #AIReadiness #AIIntegration #BusinessInsights #TechnologyTrend

"AI is an opportunity for an edge over competitors, but it's not certain. The pathways aren't well-trodden," explains data and AI leader Francine Bennett. Full interview: infy.com/3PdTWmH Francine Bennett is a data and AI expert, with a background in building new products and services with data and using AI/ML. Her experiences include founding and running a startup in the early days of ‘big data’, advising government entities on how to use data better, and running data and AI teams at a drug discovery scale-up. Most recently, she was interim Director (and current Board member) of the Ada Lovelace Institute, a Nuffield Foundation funded organisation which seeks to make AI and data work for people and society. In conversation with the Knowledge Institute's Kate Bevan. #AI #data #bigdata #AIregulation #technology #leadership #womenleaders Infosys Topaz

Together with Cornell University, Dave Hodson, now a principal scientist at the international nonprofit CIMMYT, co-leads the Wheat Disease Early Warning Advisory System. Known as Wheat DEWAS, it an international initiative that brings together scientists from 23 organizations around the world. The idea is to scale up a system to track wheat diseases and forecast potential outbreaks to governments and farmers in close to real time. The teams gather information on which wheat varieties are growing and take photos and samples. One of the apps being developed will use AI to help identify diseases by analyzing photos. A mini gene sequencer about the size of a cell phone can test wheat samples for diagnostics. The data from the field is consolidated into one huge database. Immediate risks are conveyed to farmers by SMS text messaging. - MIT Technology Review In the Agri-chem Industry Outlook 2024 report from Infosys, we looked at how mobility backed by big data, analytics, precision agriculture, and satellite-based GPS has the potential to increase yield and farmer income by 3% to 6%. Technology can help reduce food loss by 2% to 5%, and decrease water usage by 1% to 3%, according to the WEF. Advanced data analytics and AI help analyze vast amounts of agricultural data to predict weather patterns, pest outbreaks, optimize chemical usage, and improve supply chain management. AI and machine learning will be applied to improve decision making for efficient consumption of resources such as water. Read more in the report here: https://infy.com/3YjrjbN #agrichem #agrochem #smartfarming #AI #genAI | Infosys Knowledge Institute, Jeff Kavanaugh, Kapil Nanchahal, Piyush S., Ram Ramachandran,, Lidwin Mendonça https://lnkd.in/gqhH7zBF