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Home / Technology / AWS GenAI and Data Day 15102024 David Elliot AWS Keynote Highlights

AWS GenAI and Data Day 15102024 David Elliot AWS Keynote Highlights

In case you missed it, AWS did it again! An exhilarating showcase of AI and Data brilliance engulfed the Latestsale.com Founder at the AWS GenAI Data Day Extravaganza held close to London’s financial district on 15th October 2024. The Business Track stage inaugurated with Keynote speakers David Elliott, Director, UKI SA, Amazon Web Services, Frances Pye, Strategic Partnerships, Anthropic, Mark Briers, Director of Data Science & AI of BT Group and Rahul Pathak, VP of GenAI & AI/ML, Amazon Web Services.

 

DAVID ELLIOT KEYNOTE

 

David Elliot’s opinion piece highlighted the projected digital economic growth of £520bn that is expected to be added to the UK economy by the end of 2030.

Elliot attests to a breakthrough year throughout 2023 for Gen AI use and LLMs, with 86% of AWS customers seeing improved efficiency through customization and increased revenue. He claims that AI remains one of the primary ways to unlock business potential, push through greater adoption, education and skillset amongst employees when companies invest in digital infrastructure.

AWS has already generated an impact value of £14bn in UK GDP, with 14,000 roles across the AWS supply chain created resulting in an uplift from £3bn to now £8bn contributed directly into data centre ops.

 

THOMSON REUTERS CASE NOTES

The production of GenAI should embrace the highest level of security according to Elliot, with enterprises now able to offer resilient services to their end users, thanks to enterprise grade solutions that improve overall customer experiences. AWS customer THOMSON REUTERS deploys Foundation models with built in guard rails, consisting of 326 features that invigorate innovation and stretch capabilities released at two times the potency of nearest competitors.

 

AMAZON Q DEVELOPER

 

The use of Amazon Q— ASSISTANT FOR WORK—-CONNECT TO DATA SOURCES mechanism via Amazon Q Developer is an additional capability that enterprises can capitalize on. Amazon Q ensures AI tools can be automated, with a planned design, to create, deploy code, and upgrade systems. Such code transformation of Java application upgrades generates a saving of 4,000 years in development time.

 

DATA SCIENCE AT BT GROUP

 

Mark Briers, Director of Data Science & AI of BT Group explained an AI-enabled solution, embed AI into business has already come to the forefront thanks to the Co-pilot business development strategy in place. This consists of reviewing the company’s Sales persona, overall service, all colleagues impacted including the Field engineering department and developers and Finance division.

 

BT Group stats have generated some spectacular results as follows:

 

340k lines of code generated

33% acceptance rates of lines of code via Amazon Code developer

1,000 engineering days saved