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EFFICIENT MODEL TRAINING + ARCHITECTURE TRACK: Use Case - Harnessing the Power of LLMs for Accelerated Automotive Workflows

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[EFFICIENT HARDWARE + INFRASTRUCTURE DESIGN TRACK]: Datacenter AI Cost Efficiency - CAPEX vs OPEX Trade offs

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[EFFICIENT MODEL TRAINING + ARCHITECTURE TRACK]: Security and Bias in Training Data - Ownership of Data

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[EFFICIENT HARDWARE + INFRASTRUCTURE DESIGN TRACK]: Striking a balance between memory, storage and compute requirements in systems for efficient performance

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[EFFICIENT MODEL TRAINING + ARCHITECTURE TRACK]: Efficiency considerations for optimised generative AI infrastructure requirements in Enterprises : What is the roadmap?

Author:

Rashmi Gopinath

General Partner

BAM Corner Point

Rashmi Gopinath is a General Partner at B Capital Group where she leads the fund’s enterprise software practice in cloud infrastructure, cybersecurity, devops, and AI/ML sectors. She brings over two decades of experience investing and operating in cutting-edge enterprise technologies. She led B Capital’s investments in over 24 companies such as DataRobot, FalconX, Clari, Phenom People, Synack, Innovaccer, Labelbox, Fabric, 6Sense, Highspot, Pendo, Starburst, OwnBackup, Figment, Perimeter81, Zesty, among others.

Rashmi was previously a Managing Director at M12, Microsoft’s venture fund, where she led investments globally in enterprise software and sat on several boards including Synack, Innovaccer, Contrast Security, Frame, UnravelData, Incorta, among others.

Prior to M12, Rashmi was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB (Nasdaq: MDB), ForeScout (Nasdaq: FSCT), Maginatics (acq. by EMC), BlueData (acq. by HPE), among others. Rashmi held operating roles at high-growth startups such as BlueData (acq. by HPE) and Couchbase (Nasdaq: BASE) where she led global business development, product and marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. She earned an M.B.A. from Northwestern University, and a B.S. in Electrical Engineering from University of Mumbai in India.

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[EFFICIENT HARDWARE + INFRASTRUCTURE DESIGN TRACK]: Hardware Essentials for Neuromorphic Computing

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[EFFICIENT MODEL TRAINING + ARCHITECTURE TRACK]: Revolutionizing Language Models: Innovative Designs in Database Layers for Retrieval Augmented Generation

Author:

Arun Nandi

Senior Director and Head of Data & Analytics

Unilever

Arun is a visionary AI and Analytics expert recognized as one of the Top 100 Influential AI & Analytics leaders. He is the Head of Data & Analytics at Unilever today. With over 15 years of experience driving analytics-driven value in organizations, he has built AI practices from the ground up on several occasions. Arun advocates the adoption of AI to overcome enterprise-wide challenges and create growth. Beyond his professional achievements, Arun loves to travel, having explored over 40 countries and is passionate about adventure motorbiking.

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[EFFICIENT HARDWARE + INFRASTRUCTURE DESIGN TRACK]: Efficient Management & Distribution of GPUs in enterprise for AI workloads

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[EFFICIENT MODEL TRAINING + ARCHITECTURE TRACK]: Micro-prompting LLMs and SLMs for efficiency and performance increase

Author:

Donald Thompson

Distinguished Engineer

Donald is currently a Distinguished Engineer at LinkedIn, primarily overseeing the company's generative AI strategy, architecture, and technology. He has more than 35 years of hands-on experience as a technical architect and CTO, with an extensive background in designing and delivering innovative software and services on a large scale. In 2013, Donald co-founded Maana, which pioneered computational knowledge graphs and visual no-code/low-code authoring environments to address complex AI-based digital transformation challenges in Fortune 50 companies. During his 15 years at Microsoft, Donald started the Knowledge and Reasoning group within Microsoft's Bing division, where he innovated "Satori", an internet-scale knowledge graph constructed automatically from the web crawl. He co-founded a semantic computing incubation funded directly by Bill Gates, portions of which shipped as the SQL Server Semantic Engine. Additionally, he created Microsoft's first internet display ad delivery system and led numerous AI/ML initiatives in Microsoft Research across embedded systems, robotics, wearable computing, and privacy-preserving personal data services.

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[EFFICIENT HARDWARE + INFRASTRUCTURE DESIGN TRACK]: Data centre design trends - optimising density and cooling systems for efficiency improvements

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