How artificial intelligence can help fix stagnant UK productivity.
Guanchun Wang, Chairman and CEO
of Laiye shares how artificial intelligence can help fix stagnant UK productivity.
Tag Archives: AI
Explore topics on Top Business Tech related to artificial intelligence. Subscribe to TBT today for the latest on AI, IoT, blockchain and emerging technology.
Rise of the machines.
Ahsan Zafeer covers topics related to tech and digital marketing and tweets @AhsanZafeer. Here he explains people’s fears as to why machines are taking over their jobs.
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How to tackle the digital skills gap.
Simon Walker, Managing Partner at Kubrick, shares how to tackle the digital skills gap.
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BT launches new partnership board
BT’s new Partner Advisory Board will help accelerate digital transformation among UK businesses
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3 out of 4 of European businesses have invested in AI for CX.
Jean-Denis Garo, Head of Product Marketing, Odigo shares how 3 out of 4 of European businesses have invested in AI for CX
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Enhancing ETL by turning to real-time data streaming.
Lyndon Hedderly, Principle Business Value Consultant at Confluent, explains how to enhance ETL by tuning to real-time data.
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The importance of an all-encompassing approach for 0EMs.
Charlie Shuter, Senior Engineer at DeGould shares the importance of an all-encompassing approach for OEMs.
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Innovation and investment in connected vehicles.
Patrick Shelly, Manager, Solutions Engineering at The Qt Company talks about innovation and investment in connect vehicles.
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Don’t let automation be a legal minefield for you.
James Crayton, Head of Commercial, Walker Morris explores why AI is effects peoples lives.
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Exploring tech advances in healthcare.
Faramarz Farhoodi, CEO of AI Nexus Healthcare explores tech advances in healthcare.
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The adoption of AI in physical operations is gathering pace.
Philip van der Wilt, VP & General Manager, EMEA, Samsara explains the adoption of AI in physical operations and how it is gathering pace.
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Is reinforcement (machine) learning overhyped?
Aleksandras Ĺ ulĹľenko, Product Owner at Oxylabs.io talks to us about reinforcement learning and whether it is overhyped.
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Why businesses should implement agility into their value chains
“Now more than ever, CPOs are planning ahead – looking into the technology available on the market that can help them to direct their teams to operate in a more agile manner and optimise the sourcing process.”
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The Cloud – Debunking the Myth
Mid-sized businesses are head down, wrestling with constantly evolving operational challenges, from skills shortages to supply chain delays and raging inflation. Management teams lack the time and often confidence to explore technology innovation and, as a result, too many companies are missing vital opportunities to cut costs, boost efficiency and reach new customers.
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How can we debias artificial intelligence?Â
Nigel Cannings, CTO of Intelligent Voice, shares how we can debias artificial intelligence.
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Sales enablement is to salespeople as Google is to search.Â
Andy Champion, VP and General Manager, EMEA at Highspot shares how you can train your sales team at a scale.
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Manufacturing and the power of prediction: an end to unjustified and reactive maintenance.Â
Knud Kegel, VP Product, EMnify shares how the Industrial Internet of Things (IIoT) is alive and kicking.
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We must not wait for the government to fill the vacuum of AI governance.
Rachel Roumeliotis, Vice President of Data and AI at O’Reilly, shares how we must not wait for the government to fill the vacuum of AI governnce.
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NLP bias and its impact on AI
Natural Language Processing refers to the use of computers for information processing in the form of natural language text, as written or spoken by humans. It is highly effective at a whole range of tasks and can be transformative in any organisation. Yet the issue of bias in Natural Language Processing will not go away and, if not addressed, could affect the deployment of AI.
How can businesses use Natural Language Processing, and what can be done to eliminate any bias? Thomas Diggelmann, Machine Learning Engineer at augmented intelligence firm Squirro, explains more.
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The rise of no-code – what it is and why it’s the future of AI
In the past, building software
applications required months
and years of training to learn
programming languages and
frameworks. A typical software
development journey would
require excessive computing
power, endless trial and error,
and a niche, highly skilled
workforce – just to arrive
at a successful outcome.
But thanks to the rise of
no-code software, things have
changed dramatically – and
soon all the technically difficult
software development and
endless hard toll – will come
to an end.
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