Vid Desai, CIO at the Office of Digital Transformation, U.S. Food and Drug Administration, discusses how the agency plans to use AI, multi-cloud adoption, zero trust security, and a $1 billion annual budget to modernize its IT infrastructure and convert 20 petabytes of data into actionable insights.
Wadhwani AI, an independent, non-profit institute, is leveraging the capabilities of AI and ML to address real-world challenges. By predicting tuberculosis risk, using LLMs to aid farmers and pioneering infant anthropometry, it is transforming public services with emerging technologies.
AI-powered contact centers are transforming customer conversations by enhancing agent capabilities and managing routine interactions. Anil Kumar, CTO of Exotel, discusses transformational challenges and future innovations in enterprise contact centers.
Organizations have invested heavily in preventative technologies, yet cyberattacks persist globally. Organizations should instead focus on resilience, said Anneka Gupta, chief product officer, Rubrik. She offers a three-pronged strategy to prepare for, and mitigate, eventual cyberattacks.
David Ortiz, Global CISO of Church & Dwight, stresses the importance of comprehensive preparedness, including cybersecurity, disaster recovery, business continuity and crisis management, to build resiliency in OT manufacturing security practices.
Khang Nguyen Trieu, group chief technology architect, Accor, discusses how the company is readying its underlying technology architecture for generative AI implementation. He discusses the importance of data quality and explains how the company's big data foundation facilitates AI adoption.
Forrester senior analyst Tope Olufon discusses how CISOs face the challenge of shadow IT with generative AI. CISOs need to approach AI as they would any other technology, he says. "Create a threat model, not just based on best practices, but for your organization, and then build security for that."
The South Indian Bank is elevating its technology and digital strategies. Sony A., senior general manager and CIO, discusses how the bank is creating flexibility to adapt to changing transaction patterns and ensuring it stays ahead in the evolving digital banking landscape.
The data center infrastructure management, DCIM, market is forecasted to reach $6.3 billion by 2030, indicating convergence between operations and IT teams, according to an Omdia report. Roy Illsley, chief analyst, Omdia, discusses DCIM as a service, 3D modelling, generative AI and AI workloads.
Lorena Nunes, industrial cybersecurity specialist at Braskem, discusses how to bridge the cultural gap between IT and OT. She emphasizes the importance of building a cybersecurity culture and getting buy-in from leadership and rank-and-file employees.
Deloitte's Nuno Schäller Gonçalves, global innovation leader, and Anjani Kumar, partner, consulting, discuss how organizations can use Deloitte's Innovation Garage to support their innovation initiatives. They also shed light on the challenges in AI adoption and innovation.
Joseph Couture, regional information security officer for the Americas and CISO for the United States at Ørsted, discusses the unique regulatory challenges in the energy sector, the importance of risk management, and how Ørsted addresses cybersecurity to ensure safe and reliable energy delivery.
Vinit Tople of Amazon outlined three key areas for implementing large language models - identifying use cases, deciding between building in-house capabilities versus buying off-the-shelf solutions, and mitigating the inherent risks associated with LLMs.
Cropin, a SaaS-based agritech company, digitized 30 million acres of farmland across 103 countries to help 7 million farmers. CEO Krishna Kumar discusses their new Mistral AI-based micro language model - aksara - trained on agriculture datasets, outperforming GPT-4 by 40% on farming queries.
When using AI, the origin of data matters as much as its application. Nathan Shaffer, partner in intellectual property litigation with Orrick, Herrington & Sutcliffe, advocates for forward-looking approaches to AI risk management to anticipate emerging risks.
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