In the vast landscape of data, quality reigns supreme, the cornerstone upon which actionable insights thrive. It lays the foundation for robust analytics, shaping informed decisions and strategies. Yet, data, on its own, holds limited power. It's the mastery of data literacy that unlocks its potential, enabling individuals to decipher, interpret, and wield information effectively.

However, the true zenith lies within the art of storytelling—a bridge between raw numbers and human understanding. Through compelling narratives, data transcends mere statistics, captivating audiences and driving meaningful actions. This trifecta—Quality, Literacy, Storytelling—represents a journey, interwoven and interdependent, where each stage amplifies the value of the next. It's a holistic approach, reshaping how we perceive and utilize the vast reservoirs of data, empowering us to not just analyze but to inspire, inform, and transform.

Venkatesh Natarajan Executive Coach & Advisor
StrategINK

Data is the new oil, but one needs a powerful engine to extract, refine and harness it efficiently. Organizations that build a robust analytics foundation and a strong analytics culture and competency will certainly be able to innovate and make decisions more wisely.

• Analytics will become more pervasive, democratized and composable.
• Meta-data-driven data fabric will continue to rise.
• Analytics will continue to extend to the edge
• The pros & cons of the Generative AI tools in IT, Marketing & Finance

Srikanta SahooSenior Director - Information Technology, LTIMindtree

Rajesh RamachandranGlobal CDO & MD - Process Automation
ABB

Saurabh KishoreChief Technology Officer
DealShare

Arun NarayanaswamySenior Director - Engineering
Amadeus

Sumanta BhattacharyaChief Data & Analytics Officer
UNO Digital Bank

Naveen KamatVP – Data and AI Practice, Kyndryl

Moderator
Venkatesh Natarajan Executive Coach & Advisor, StrategINK

A Digital Transformation roadmap outlines strategic integration of Cloud and AI to drive success. Leveraging Cloud infrastructure enhances scalability, flexibility, and accessibility, while AI augments decision-making, automates processes, and unlocks insights from data. Together they propel organizations towards agility, innovation, and competitive advantage in the digital era. Aligning DX initiatives with business objectives and integrating Cloud and AI supports these goals.

• Discover how Cloud infrastructure empowers AI implementation by providing essential scalability, storage and computational power for AI-driven solutions.
• How Cloud AI and Gen AI enhances CX with personalized interactions, predictive analytics, enhance employee productivity and streamlined processes etc.
• Highlight the value of real-time insights and feedback from Cloud and AI technologies, empowering organizations to swiftly address Gen AI's evolving needs and preferences.

Vaibhav TewariCo-Founder & CEO, Portea

Abhishek KumarCo-Founder, Xoxoday

Puneet TripathiHead - Data Science, Wakefit

Vaibhav MagonFounding Team & Engineering Sage, CheQ

Saurabh K MehtaSales Leader - Digital Natives, Google Cloud India

Moderator
Santanu GangulyChief Executive Officer
StrategINK

Harnessing data for business decisions ensures proactive monitoring of progress, facilitating timely goal adjustments. Accurate market research and analysis unveil patterns, enhancing decision-making precision. This data-driven approach not only reveals trends but also boosts productivity, offering a strategic advantage in adapting to dynamic business landscapes.

• Smarter Analytics: Utilize data analytics more strategically
• Smarter Decision Making: Increase collaboration within other departments
• Smarter Insights: Strengthen risk management strategies and leverage technology investments wisely for business growth

Dr. Shivani Rai GuptaChief Data Scientist, JIO

Nitin GuptaSr. Director & Head - Enterprise Analytics, Data & AI, VISA

Chander DamodaranGlobal Chief Technology Officer, Brillio

Arvind SinghChief Technology & Product Officer, EVP-IT, Puravankara

Chandrakant NaikTari Senior Manager - AI & Machine Learning, Boeing

Sanjay AgrawalHead Presales & CTO, India & SAARC, Chair SNIA, Hitachi Vantara

Moderator
Kanchi ShahGM - Content Strategy
StrategINK

Edge computing, combined with AI/ML capabilities, is an emerging computing paradigm which is processing data closer to where it’s being generated, enabling processing at greater speeds and volumes, leading to greater action-led results in real time. Maturing technologies like 5G and advancements in Wi-Fi Networks make edge more efficient, reliable and easier to manage. When AI/ML algorithms are deployed at the edge, it reduces dependency centralized compute power. Edge also makes blockchain better as more reliable data leads to greater trust and less chance of human error. Edge is also leading a revolution in automation, moving from systematic processes in closed, controlled environments and give below benefits for enterprise uses:

• AI/ML driven, real-time productivity at the edge
• Optimized process. Backed by connectivity, closer to point of consumption
• Experience with extended reality
• Privacy and security by default

Arihant GolchhaHead - Digital Transformation, Prestige Group

Arunraja KarthickHead - Information Technology Services & Security, DTDC

Amit KumbhatDirector - IT, Four Seasons Hotel

Jitendra GuptaSenior Director India & SAARC, Ruckus Networks

Amit DhawanChief Information Security Officer & Data Protection Officer
Quantiphi

Moderator
Venkatesh NatarajanExecutive Coach & Advisor, StrategINK

A pressing subject in today's data-driven landscape. Large Language Models are at the forefront of this evolution, providing powerful capabilities that come with unique security considerations. Data Management is the key to driving outcomes and as we harness the power of AI to manage and analyse vast datasets, Intellectual property, security and privacy remains a paramount concern. Other risks include regulatory compliance, financial crime, credit risk, poisoning in modelling and data analytics. Today, we delve into the intricate relationship between AI and data security, trying to find the answers to manage the risks and exploring how we can protect our most valuable digital assets while leveraging the full potential of LLMs.

Hilal Ahmad LoneCISO & Chief Data Protection Officer, Razorpay

Mrudul UchilVice President, India Site Head, Cybersecurity, VISA

Jayakrishnan MenonCo-Founder & Chief Technology Officer, Tecplix

Moderator
Amit DhawanChief Information Security Officer & Data Protection Officer
Quantiphi

For numerous digital natives, AI isn't optional; it's integral to their business model, product, service, or operations, playing a pivotal role in their growth strategies. AI is intricately woven into the fabric of these organizations from their inception, providing them with a significant advantage.

• Difference between Digital and AI Natives
• AI is pivotal to the growth strategies of born-digital companies.
• Digital Natives leverage AI to complement, not replace, people.
• Born-digital companies grasp the AI model development process.

Mathangi Sri RamachandranChief Data Officer, Yubi

Kumar ShailoveVice President - Engineering, Hiver

Amit Tyagi Chief Executive Officer & Chief Technology Officer, True Reach Ai

Rahul SangalHead - Business Transformation
Coca-Cola

Moderator
Prateek TokasChief Knowledge Officer
StrategINK