Category Archives: AI

AI, Awards, News, Tech

Engine recognised for advanced AI solution by prestigious UK Business Tech Awards

Fast-growing AI company, Engine, has been recognised for its advanced and growing suite of AI solutions by the prestigious UK Business Tech Awards, after being shortlisted for ‘Best AI Innovation’.

Headquartered in London, Engine was created to help SMEs and public sector organisations to take advantage of the opportunities created by rapidly evolving AI technology.

 

Over the last 12 months, it has established a niche in building custom AI solutions known as ‘knowledge engines’, that enable businesses to instantly access the benefits of top-tier natural language AI without exposing their data or having to rely on online information.

Dedicated to celebrating the UK’s finest tech businesses which have added tangible benefits to customer experience, management systems, marketing and sales, data tracking and more, the UK Business Tech Awards was established by leading awards organisers, Don’t Panic Projects.

 

With the awards ceremony set to take place on 19th November 2024 at the Hilton London Bankside, the UK Business Tech Awards is one of the most anticipated events on the business and wider tech industry calendar and will celebrate over 100 finalists from 30+ different categories.

Being shortlisted for ‘Best AI Innovation’ comes at an exciting time for Engine, having recently unveiled is latest AI solution – Bid Writer – which enables businesses to create comprehensive, accurate, compelling responses to match project briefs or bid criteria within a matter of seconds.

 

Kieron White, co-founder and Director of Engine, confirmed: “We launched Engine in 2023 with a clear vision to really help businesses leverage the evolving power of AI –be that by improving operational efficiencies and staff productivity or helping to drive sales and business growth, with our latest solution – Bid Writer.

“We are incredibly proud that our growing suite of AI solutions have already been recognised by such a prestigious accolade as the UK Business Tech Awards and we now look forward to the finalists’ ceremony this November – fingers crossed!”

 

Launched in 2023, Engine is fast becoming the leading and must use AI tool for businesses both UK and worldwide and is on track to accelerate growth by 400% within the next 12 months alone.

 

For more information, visit:

https://www.engine-ai.co.uk/

https://businesstechawards.com/2024-shortlist/

AI

Leading digital tax solutions partner hosting ‘power of AI’ seminar alongside industry figureheads

APARI Pro, a digital self-assessment solutions partner, is set to host a speaker event alongside the AI industry’s most notable names.
The modern business landscape is a constant source of evolution, with the introduction of artificial intelligence (AI) beginning to implement its way into organisations worldwide.
And APARI is at the forefront of bringing this revolution into the digital tax industry, offering services across accountancy, platforms and individual self-assessments.
The company is passionate about discussing these industry changes with other members, and is set to host a seminar around ‘The Power of AI for Personal Tax’ at London’s Home Grown Club on Tuesday 24 September.
Speakers include former Dragons’ Den investor Piers Linney, strategic growth expert and 2003 Rugby World Cup winner Matt Dawson MBE, Evelyn Partners’ Head of Technology & Transformation Services Laurence Kiddle, and APARI Founder & CEO Sudesh Sud.
The event will explore how accountancy firms can utilise AI-driven self-assessment solutions and leverage artificial intelligence to enhance efficiency, improve compliance and boost ROI in tax.
Matt Dawson MBE is set to open the event, and added: “I am very proud to be invited to launch this exclusive event. AI is going to have a huge impact on the way we work going forward.
“At the event you will learn how to unlock the power of AI to boost efficiency and maximise ROI in tax digitisation, so I implore everyone: don’t miss out!”
Piers Linney also added: “Exploring the importance of AI integration in business has been at the forefront of my focus for a number of years. The effect its implementation can have on accountancy, wealth management and e-commerce services in particular is huge.
“I recommend everyone to reserve a spot at this event, and not miss out on this innovative opportunity.”
Sudesh Sud commented: “I’m really looking forward to showcasing how AI is set to transform the way we work.
“I’ll be sharing insights on how our AI solutions can drive efficiency, cut costs, and boost revenue, all of which are incredibly important in modern business. I can’t wait to see everyone on September 24.”
The event runs from 10am until 2pm, with lunch and networking opportunities for the final hour and a half. For more information, or to register your interest for the exclusive event, visit: https://www.apari-digital.com/ai-seminar
AI

Generative AI adoption poses long-term challenges for tech infrastructure, warn global CTOs

Businesses that hastily adopt generative AI (Gen AI) tools are likely to face prolonged challenges with their existing infrastructure, reveals a new research from global Network-as-a-Service provider: Console Connect.

These concerns emerged from a global survey conducted by Arlington Research and spanning across the UK, US, Australia, Hong Kong, and Singapore. The research collected insight from 1,000 CTOs and senior IT leaders revealing that an impressive 76% of respondents believe that the too rapid adoption of Gen AI is going to have long-term repercussions on their technology infrastructure planning. Moreover, nearly 70% of senior IT leaders and 66% of CTOs have admitted to a lack of capacity from their current network infrastructure in supporting Gen AI to its full potential.

Excessive complexity amongst amongst an increased pressure

An excessive rush to integrate Gen AI could be the main reason for the increased pressure on IT teams. In fact, according to the research, 76% of CTOs believe that their teams are under increasing pressure to adopt Gen AI within their organisations. The introduction of large volumes of additional data generated by Gen AI, along with the need to move this data across private and public clouds, is already adding major costs and higher degrees of complexity to enterprise networks.

Paul Gampe, CTO of Console Connect commented: “The rapid development of generative AI creates a demand on networks that we have not seen before. As CTOs and senior IT leaders adopt Gen AI tools within their organisation, they need to consider the short and long-term implications of moving larger volumes of sensitive data to and between private and public clouds.”

Most affected sectors

Not every company is affected in the same way. The challenges posed by the adoption of Gen AI vary across different sectors, small and medium-sized enterprises (SMEs), in particular, often lack the robust infrastructure and financial resources to easily integrate Gen AI. It should serve as a warning that these companies will face a steep learning curve and a significant financial investment in upgrading their networks in order to handle the increased data loads and processing requirements.

In the finance sector, the stakes are even higher as financial institutions handle vast amounts of sensitive data, and any disruption or security breach can have severe repercussions, which is an extremely timely topic following the CrowdStrike crash. The survey found that 70% of respondents fear that the use of Gen AI will increase their organisation’s risk of cyberattacks or data breaches, interestingly, this concern appears to be particularly acute in Australia, where a whopping 90% of respondents expressed heightened anxiety over cybersecurity threats.

Finally, tech companies, which are typically at the forefront of AI adoption, also face unique challenges. While these organisations often have more advanced infrastructure, the rapid pace of AI development means they are required to continuously evolve their networks. The need for constant evolution can obviously strain resources and lead to bottlenecking if it is not strategically managed.

Re-examining cloud access

As enterprises build hybrid and multi-cloud architectures to deliver and support Gen AI, they need to re-examine how they access the cloud. The ‘traditional’ public internet is quickly becoming  inadequate for handling the high demands of Gen AI applications and this is why more and more businesses are exploring automated, private, and secure network connections that can be dynamically adapted to meet the needs of Gen AI.

“These survey results demonstrate that when it comes to deploying mission-critical AI applications, businesses are growing increasingly concerned about the need to be securely connected,” continues Gampe. “The public internet is no longer suitable for handling many of these applications and workloads.”

Cybersecurity is facing a skills shortage

Cybersecurity risks and a lack of IT skills and expertise are seen as major barriers to Gen AI adoption. And with an impressive 70% of respondents fearing an increased risk of cyberattacks or data breaches, and in light of the recent global outage, organisations are more than ever compelled to prioritise secure network solutions. A shortage in required skills further complicates this scenario, as businesses struggle to find qualified professionals to manage and secure their AI infrastructure.

What’s next?

This groundbreaking research highlights the critical need for strategic planning in adopting and managing Generative AI technology and businesses must invest in upgrading their network infrastructure and explore secure, private network solutions in order to mitigate the risks and roadblocks associated with this new technology. By doing so, they can harness the full potential of Gen AI while ensuring their operations remain secure and efficient.

Access the full ConsoleConnect 2024 Interconnection Report: “The impact of generative AI on networks”.

 

AI, London, Technology

Advanced tech tool on track to accelerate growth as more businesses leverage RAG AI

An advanced tech tool designed to help organisations take advantage of the opportunities created by rapidly evolving AI innovations is on track to accelerate growth by 200% within the next six months, as more businesses integrate RAG AI into their operations.

Established in 2023 by co-founders and experienced transformation consultants, Kieron White and Neil Watkins, Engine can effectively summarise vast amounts of data into easily understandable and useful information that removes friction, reduces repetitive work, saves time, and enables employees to do a better job.

 

Underpinned by Retrieval Augmented Generation [RAG] AI – being an AI framework that combines the strengths of traditional information retrieval systems with the capabilities of generative large language models – Engine has evolved from an initial data access tool into an entire suite of exciting solutions, ranging from a documentation to proposal builder.

Having already delivered impressive results in the public and education sectors, Engine is now seeing significant uptake the private sector and is forecast to grow by over 400% by the close of 2025, as growing numbers of businesses leverage its capability.

 

Kieron White, co-founder and director of Engine, explained: “Engine was founded to help businesses really take advantage of AI. It enables users to receive instant, comprehensive and accessible information from any documentation sources it is trained on, while also keeping data safe and secure.

“The way Engine utilises RAG AI ensures that company employees can be freed from the burden of repetitive, time-consuming tasks like creating new proposals, or revising important documentation. It even responds to customer queries allowing valuable time and resources to be allocated elsewhere.”

Since launching the solution, Engine has helped many organisations truly leverage RAG AI to easily access valuable information, improve decision making, increase productivity and enhance stakeholder experience. As such, we are now working with growing numbers of businesses across the UK and are already seeing impressive results – watch this space.”

 

Headquartered in London, Engine is fast becoming the leading and must use AI tool for businesses both UK and worldwide. Based on ChatGPT and stored via Microsoft Azure, Engine keeps data safe and secure while transforming how organisations operate.

For more information, visit: https://www.leadingai.co.uk

 

Accountancy, Accountancy & Accounts, AI, Business, Cyber Attack, Technology

ACCA UK calls for AI cybersecurity approach to emphasise global applicability

  • Leading accountancy body ACCA says the UK government’s proposed AI cyber code is a useful starting point for a global regulatory approach
  • Industry experts are best placed to manage the emerging and evolving range of cyber risks

 

Responding to a UK government consultation led by the Department for Science, Innovation & Technology outlining an AI cybersecurity code of practice, ACCA says the government is best placed to set up overarching regulatory structure and principles, while those on the frontline of AI developments should be given the space to work to combat emerging cyber risks.

 

However, the pro-innovation approach of the proposed code – as set out in the government’s white paper – needs to have safeguards and its requirements may need to be revisited. The cyber challenge in AI is dynamic, and a ‘point in time’ view can become quickly outdated.

 

ACCA also highlighted the risks and impacts to end users in small and medium enterprises (SMEs), with a significant number of its members operating in this segment. The greater challenges faced by this group of stakeholders on cyber readiness – across both skills and budgets – are well-documented. ACCA wants end-user SMEs to be safe and protected from cyber risk, yet empower them to choose AI given its potential to augment business productivity.

 

Glenn Collins, head of technical and strategic engagement, ACCA UK, said: “ACCA is pleased to see the consultation taking a principle-based approach as our current view of AI offers too many unseen scenarios. ACCA, its members and partners, will be profoundly impacted by its planned use of AI including delivering finance professionals with an optimal experience and skill set for the modern workplace.”

 

ACCA warned that adherence to any code carries a cost, including indirect costs of adhering to the code and the impact through the supply chain. Effort and cost will be needed to raise awareness of the code, as well as monitoring and enforcement.

 

Narayanan Vaidyanathan, head of policy development, ACCA, noted: “We anticipate utility from such a code for those providing assurance or third-party verification of AI systems. This is an important category of stakeholders who will have a key role to play in creating a trusted AI eco-system to supplement the regulatory and legal direction from policy makers.

 

“We do not anticipate this group to be subject to the requirements of the code itself, but assurance requires checks against a well-defined, and ideally, publicly available standard – which this code could provide. Cyber risks are a part of what the assurance of an AI system may need to check for. Therefore, those providing assurance would find such a cyber code and associated standards helpful.”

 

In its response, ACCA also called on the government to tackle the skills gap, which needs to be filled in order to combat cybersecurity risks. The Apprenticeship Levy could be expanded to a ‘Growth and Skills Levy’ that is more flexible and can be used to fund shorter-term accredited training programmes that upskill and reskill workers on the cybersecurity of AI.

 

Companies should also be able to increase the proportion of their unspent levy funds to their supply chains – ACCA suggests an increase of 25% to 40%. This could unlock millions of pounds to develop AI skills.

 

Ultimately, cybersecurity issues linked to AI need staff to be trained on current and emerging risks. If insufficient training is given, standards and frameworks will fail to achieve any impact.

 

Read ACCA’s response here.

 

Visit ACCA’s website for more information.

AI, Data & Analytics, News

Unlock Hidden Relationships in Your Data with SCOTi’s new Graph Creator Function

Edinburgh, July 29th 2024. At the request of ex government minsters, smartR AI has developed SCOTi Graph Creator, the latest addition to the SCOTi® AI suite. Graph Creator allows organizations to trace complex relationships in unstructured data and transform those relationships into actionable insights, while maintaining control over sensitive information.

The SCOTi Graph Creator stores information into graph databases, like Neo4j.  To ensure complete privacy, the whole system can be run locally and securely on-prem. Once SCOTi has extracted the relationships, SCOTi Data Analyst can answer plain English questions about the data.  Addition benefits include:

  • Fort Knox for your data: SCOTi is built with privacy and security at its core; sensitive business information remains protected.
  • Relationship genius: SCOTi dives deep into data chaos, surfacing hidden connections. It weaves a private web of insights, bringing your world into sharper focus, creating a robust foundation for building complex graphs within an organization’s graph database.
  • Simplified data analysis: With SCOTi, users ask plain English questions to analyze their graph and get answers in seconds, making it easy to search for the valuable insights hidden within their data, anyone can do it.
  • Boost Productivity Across Departments: Graph Creator’s versatile applications can enhance efficiency and spark innovation throughout an organization. Everyone in a team becomes a data expert.
  • Seamless Integration: As part of the SCOTi® AI suite, Graph Creator works with existing features like Super Search, Data Hoover, Data Analyst, and Report Writer, amplifying the value of the current tools.

Applications of SCOTi Graph Creator are infinite. It is ideal for those trying to keep track of several complex elements, like mapping patent landscapes for targeted innovations, or visualizing citation networks in academic literature. It also works wonders in uncovering hidden patterns, such as complex financial transaction patterns, which can enable the discovery of fraud networks. Not to mention it can boost the management of internal data systems by organizing and connecting disparate sources in data lakes, visualizing data lineage and dependencies and enhancing the quality of your data through relationship analysis. These applications are just hitting the tip of the iceberg.

SCOTi Graph Creator illuminates the hidden web of relationships in your data, transforming information into strategic advantage.

 

About smartR AI

smartR AI augments your team with AI expertise. We work closely with all stakeholders to drive enterprise-wide implementation of AI, streamlining workflows.  At smartR AI, we spend the time to learn about your business and collaborate closely with your teams to develop a customized AI solution unique to you. Our award-winning smartR team has years of experience adapting AI solutions to real world needs. We’ve developed proprietary model building blocks to accelerate the development of your project.

  • For business applications we have SCOTi – your loyal AI pal.
  • For medical, health and wellbeing applications, we have alertR – a behavioral intelligence-based alerting system.

We specialize in providing safe private models, that manage risk, while providing high reward.  As our models are specifical trained for you, they work naturally with people to enhance and optimize productivity, and reveal previously unseen insights from your vast data pools. But most importantly, smartR is committed to providing safe AI programs within your own secure and private ecosystems.

We invent tomorrow’s products today by breaking free from pre-programmed rules. As intelligence moves to the edge of the network, smartR AI is all about doing things the smartest way. smartR AI improves your life intelligently by empowering your workforce with actionable insights.

AI, News, Technology

My Take on the EU AI Act: A Game-Changer with Some Head-Scratchers

Written by Oliver King-Smith, Founder and CEO of smartR AI 

As someone who’s been following the AI industry closely, I have to say the new European Union AI Act has really caught my attention. It’s a beast of a document; 458 pages and 113 articles! When I first heard about it, I thought, “Well, there goes my weekend reading.” But jokes aside, this is a big deal, folks. It’s probably the most ambitious attempt to regulate AI that we’ve seen so far.

What’s the Act All About?

At its core, the EU AI Act is trying to categorize AI systems based on their risk levels. Let me break it down for you:

  • Unacceptable Risk: These are the AI no-nos. Things like government social scoring systems (reminds me a bit too much of that “Black Mirror” episode) and certain biometric identification systems are outright banned. They’ve also put the kibosh on AI systems designed to manipulate human behavior. Good call, if you ask me.
  • High Risk: This category includes AI used in critical areas like infrastructure, education, law enforcement, and healthcare. These systems will need to jump through some serious hoops to be compliant.
  • Limited Risk: Think chatbots here. They’ll need to meet some transparency requirements, but nothing too heavy.
  • Minimal Risk: Everything else falls here. No extra obligations, but they’re encouraged to follow best practices.

Here’s a thought that keeps bugging me: What if someone creates an AI system to help companies comply with this very Act? Would it be considered limited risk, even though it’s essentially judging what’s high risk or unacceptable? It’s these kinds of edge cases that make me wonder how flexible this legislation will be in practice.

A Nod to the Little Guys

I was pleasantly surprised to see how much attention the Act gives to startups and small businesses. The word “startup” appears 32 times! That’s more than I expected in a legal document. They’re talking about “simplified ways of compliance” that shouldn’t be too costly for smaller companies. But here’s the rub – they don’t really define what “excessive cost” means. As someone who’s worked with startups, I can tell you that’s a pretty crucial detail.

Some Interesting Exceptions

Remember when I wrote about using AI to treat addiction? Well, the Act has some clarifications that relate to this. AI used for medical purposes, like psychological treatment or physical rehab, gets a pass on the behavioral manipulation ban. That’s a relief – it shows they’re thinking about the beneficial uses of AI too.

They’ve also given a green light to “common and legitimate commercial practices” in advertising. I’m not entirely comfortable with this one. In my experience, the line between persuasive and manipulative advertising can be pretty thin, especially with clever AI-driven ad targeting.

The Transparency Conundrum

Now, here’s where things get tricky for a lot of companies, including the big players like Microsoft, Anthropic, Google, and OpenAI. The Act requires publishing summaries of copyrighted data used in training AI models. That’s a tall order. If you are using AWS Bedrock, or Azure OpenAI, your app would currently not be allowed to be used in the EU.

Take Llama 3, one of my favorite open-source models. As it stands, it wouldn’t pass this test – there’s very little documentation about its training data. On the flip side, models trained on well-documented datasets like The Pile are sitting pretty.

The Copyright Puzzle

The Act doesn’t outright ban using copyrighted material for training, but it does require disclosure. Sounds simple, right? Not so fast. In the EU, if you post something original on Facebook or Reddit, it’s typically considered your copyright. But in the US, the terms of service often give these platforms (and potentially others) broader rights to use your content. It’s a real tangle, and I’m curious to see how companies will navigate this.

What Does This Mean for AI Innovation?

Some people are arguing that this Act will boost AI adoption by providing clarity. I’m not so sure. Don’t get me wrong – I’m all for responsible AI development. But the sheer complexity of these regulations makes me worry. For small startups operating on a shoestring budget, these new regulatory hoops could be a real burden.

In the short term, I wouldn’t be surprised if this puts a bit of a damper on AI adoption in the EU. It’s a classic case of good intentions potentially having unintended consequences.

The Road Ahead

The good news is that this isn’t happening overnight. The Act will be phased in over several years, giving companies some breathing room to adapt. But if you’re running a business in Europe or thinking about entering the European market, my advice would be to start wrapping your head around this now. It’s going to take time to figure out how to align your AI systems with these new requirements.

Final Thoughts

The EU AI Act is a big step, no doubt about it. It’s trying to strike a balance between protecting citizens and fostering innovation, which is no easy task. As someone deeply interested in AI’s potential, I’ll be watching closely to see how this plays out.

For now, my recommendation to companies would be this: Start assessing your AI systems against these new standards. Think about how you can bake transparency and risk assessment into your development process from the get-go.

One thing’s for sure – the AI field isn’t slowing down anytime soon. This legislation will need to keep up, and I wouldn’t be surprised if we see updates and new interpretations coming out regularly. It’s going to be a wild ride, folks. Buckle up!

 

About the author

At smartR AI, Oliver King-Smith spearheads innovative patent applications harnessing AI for societal impact, including advancements in health tracking, support for vulnerable populations, and resource optimization. Their alertR invention aims to enhance independence and quality of life. smartR AI specializes in providing safe private models, that manage risk, while providing high reward. Their most recent addition to the stable is SCOTi® AI– your loyal AI pal, a generative AI application. Their models are specifical trained for every client, they work naturally with people to enhance and optimize productivity, and reveal previously unseen insights from vast data pools. Throughout his career, Oliver has been dedicated to developing cutting-edge technology to address challenges, and today smartR AI is committed to providing safe AI programs within your own secure and private ecosystems.

As a serial entrepreneur, he has founded three companies and contributed to two successful exits. Recognized as “Best Global Life Science AI Solutions Provider – UK 2022” by Corporate Vision and “AI Solutions Provider of the Year 2023” by Corporate Livewire, smartR AI, under Oliver’s leadership, has grown to over 20 team members, focusing on integrating sensors and AI to tackle emerging challenges.

Oliver holds a PhD in Mathematics from UC Berkeley and an executive MBA from Stanford. He’s an innovator with expertise in Data Visualization, Statistics, Machine Vision, Robotics, and AI. Oliver’s entrepreneurial spirit extends to supporting startups and serving on the Board of Directors for Eco-Panels and Elemental Breath.

AI, Background Screening, HR, HR News, News

Widespread Support for Utilising AI/Automation in the Background Screening Process

More than 9 out of 10 EMEA businesses would be comfortable with AI or automation being used by background screening providers for researching or compiling a screening report  

A leading provider of global employment background screening services, HireRight, has released the findings from its 17th annual benchmarking survey.

HireRight’s new and comprehensive report draws from the survey responses of more than 1,250 HR, risk, and talent acquisition professionals from organisations worldwide using employment background screening to help mitigate possible risks to their employees, customers, corporate reputation, and commercial success.

One of the key findings this year is the generally warm welcome from survey participants for the use of AI or automation for researching or compiling a background screening report. In fact, 83% of EMEA respondents said they would be comfortable with AI or automation being used to reduce the risk of human error and 79% were happy with its use if it helped speed up the screening process. Improving the candidate experience (64%) and cost savings (48%) were also among the top benefits that EMEA respondents said would warrant their usage.

 

Commenting on HireRight’s approach to the use of AI and automation, Marc Sharma, Director of Engineering, Applied Machine Learning at HireRight, said: “Given the sensitivity of the data HireRight handles, none of our planned process workflows can be considered a standalone AI system that automates employment decisions. Instead, we use a hybrid, and well-known, ‘Human in the Loop’ type system. The data from this survey appears to show that employers have an appreciation for the coupled human/machine hybrid handling of the security and efficiency of our internal processes and workflows, while maintaining the necessary human-only control.”

 

Essential Accuracy

One of the other key reasons respondents stated they would support the use of AI or automation by their screening provider in the screening process is to reduce the risk of human error and improve accuracy. And accuracy of results has climbed to the top of the priorities list for employers (72% in EMEA, up from 50% last year) when choosing a background screening provider, with speed (33%) and cost (35%) showing as less important to respondents than in HireRight’s 2023 survey.

When it comes to the specific candidate discrepancies employers are finding, again it varies around the world. In EMEA, it is inconsistencies found when verifying candidates’ employment history and education credentials that dominate. In contrast, in North America, undisclosed criminal convictions are the most common candidate discrepancies—identified by over double the percentage of EMEA respondents (40% in North America vs. 17% in EMEA).

 

The above is a brief snapshot from a much broader global report that dives into regional background screening, talent acquisition, and talent management trends from around the world. For more information and to download HireRight’s 2024 Global Benchmark Report, please visit www.hireright.com/benchmark2024.

 

 

AI, Home Tech

On world AI day – new poll reveals best experts on the tech which is transforming all our lives

A new poll has revealed the world’s most sought after experts on AI.

Released to coincide Artificial Intelligence Appreciation Day (July 16) World AI Day, the list includes some of the brightest and sharpest minds in an area.

Due to the speed of change with which AI is moving, experts are now increasingly being hired to share knowledge to businesses and their employees in a bid to promote greater knowledge.

Jack Hayes, director of the Champions Speakers’ Agency, who commissioned the poll on the world’s best AI keynote Speakers said selecting the right speaker and expert voice is vital.

His survey, which can help business leaders to do this, is based on feedback and reviews taken during events over the past 12 months.

He said: “World AI Day is an important moment to stop and celebrate the huge opportunities that AI can deliver. For businesses, knowing how to utilise the many benefits of AI can be a daunting and challenging task. That’s why hiring an expert speaker can bring clarity to an area which, if effectively managed, can transform businesses.”

Jack added: “Thankfully there are many in the world right now and according to our survey these are the most popular….”

Kay Firth-Butterfield

Currently the founding Executive Director of the Centre for Trustworthy Technology, Kay Firth-Butterfield is renowned as the World’s first Chief AI Ethics Officer, having formerly been the Head of Artificial Intelligence and Machine Learning for the World Economic Forum. Having also been an Expert Advisor for the All Parliamentary Group on Artificial Intelligence, the Co-Founder of the Responsible AI Institute and Vice Chair of the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems, Kay is a preeminent expert on ethical AI.

 

Professor Nick Bostrom

An award-winning artificial intelligence expert, Professor Nick Bostrom is the founding director of the Future of Humanity Institute at the University of Oxford. Recently inducted into Prospect’s Top World Thinkers List, he is without a doubt one of the most in-demand keynote speakers in his field.

 

Yann LeCun

Yann LeCun is the current Vice President and Chief AI Scientist of Meta, renowned as a preeminent authority on all things machine learning, computer vision and artificial intelligence. Having also forged respect as the Co-Founder and Chief Scientist of MuseAmi, Yann has worked a decorated career putting the complexities of exponential technologies into context.

 

John Tasioulas

As the inaugural Director of the Institute for Ethics in AI and a Professor of Ethics and Legal Philosophy at the University of Oxford, John has firmly positioned himself at the forefront of discussions on AI ethics. Currently, as a Senior Fellow of Schmidt Science’s AI2050 Programme and a member of the Prime Minister of Greece’s High-Level Advisory Committee on AI, John Tasioulas is deeply engaged in the ethical evaluation of AI’s development and implementation.

 

Geoffrey Hinton

Geoffrey Hinton is renowned for his former role as the Vice President and Engineering Fellow of Google. Currently working as a Professor in the Computer Science department of the University of Toronto, Geoffrey is revered for his research on neural networks, having popularised the backpropagation method. Also the Chief Scientific Adviser of the Vector Institute and Associate Professor of Carnegie Mellon University, Geoffrey is also widely known for his passions in increasing understanding of the dangers of artificial intelligence.

 

Nina Schick

Nina Schick is a revolutionary expert in the field of AI, renowned for being the author of the World’s first generative AI book DEEPFAKES: The Coming Infocalypse, the Creator of the Era of Generative AI and the Founder of Tamang Ventures. With a history advising the World’s most prominent leaders, such as President Joe Biden and former NATO Secretary General Anders Fogh Rasmussen, Nina is regularly hired as a speaker to share her revolutionary knowledge on the future of generative AI.

 

Ilya Feige

Ilya Feige has forged a respectable career in AI, currently working as the Global Head of Artificial Intelligence and Machine Learning for Cerberus Technology. Having formerly worked as the Director of AI at Faculty, Ilya is on a mission to build and deploy safe artificial intelligence systems that help humankind to achieve exceptional performance.

 

Henry Ajder

The first “GenAI Cartographer”, Henry Ajder is recognised across the globe as an expert on deepfakes and generative AI. Transforming societies understanding of generative AI, Henry was formerly the Presenter of The Future Will Be Synthesised and is a member of Meta’s Reality Labs Advisory Council. Having also led generative AI research at MIT, co-authored the State of Deepfakes and been a Generative AI Luminary Advisor for Ernst & Young, Henry is working tirelessly to demystify the value and risks of AI.

 

Ed Newton-Rex

The Vice President of Audio at Stability AI, Ed Newton-Rex is famed for being one of the very few people who have founded and sold a generative AI company. The Founder of Jukedeck, Ed sat at the helm of the World’s first AI music company.Named as one of the 30 Most Creative People in UK Tech by Business Insider and one of the Generative AI Power Players by Sifted, Ed is renowned for his unique perspectives on how artificial intelligence will impact the creative industries.

 

Inma Martinez

A proud member of the World Leading Expert Group for the Innovation & Commercialisation of AI Committee, Inma Martinez has gone from strength to strength. Fast Company called her ‘a firestarter’ which serves as a tribute to her pioneering role in British technology. Her impressive knowledge makes for engaging speeches and has seen her appear at industry-leading summits and conferences including TechCrunch, BusinessWeek and GSMA Mobile World Congress.

 

Kate Darling

With a strong interest in robot ethics, Kate Darling is a research specialist at the prestigious Harvard University. She regularly gives thought-provoking talks on ethical issues surrounding AI and discusses where human-robot interaction may take us in the future. Kate has authored several books and papers on these topics and in her capacity as an after dinner speaker, always leaves audiences inspired to learn more.

To find out more about the Future of AI, contact the AI Speakers Agency, the world’s first and only dedicated AI Keynote Speakers agency.

AI, Technology

The Rise of AI in Business

Artificial intelligence (AI) is transforming business. Companies use AI to improve efficiency and customer service. AI analyzes large amounts of data to find patterns. This helps in decision-making. Healthcare, finance, and manufacturing benefit greatly. AI offers insights that were previously impossible to see. These industries gain a competitive edge by leveraging AI’s capabilities. The adoption of AI is a key factor in staying relevant in today’s market.

In healthcare, AI is changing diagnostics. It analyzes medical records and images to find diseases early. Early detection leads to better treatments. AI also helps create personalized medicine. This means treatments are tailored to each person’s genetics and lifestyle. The result is more effective care. Hospitals are adopting AI to streamline administrative tasks as well. This allows healthcare professionals to focus more on patient care.

Finance also uses AI to enhance services. It detects fraud by analyzing transactions in real-time. Investment firms use AI to predict market trends. This leads to better investment decisions. AI chatbots improve customer service by handling simple queries. This allows human agents to tackle complex issues. AI also assists in credit scoring and risk management. It provides more accurate assessments, reducing financial risks.

Manufacturing benefits from AI too. AI-driven robots work on production lines. They increase efficiency and precision. AI predicts equipment failures before they happen. This reduces downtime and maintenance costs. Supply chains are optimized by AI. This ensures timely delivery and reduces waste. AI also aids in quality control by inspecting products with higher accuracy. This leads to fewer defects and higher customer satisfaction.

Online gaming platforms use AI to enhance user experiences. AI personalizes games based on player behavior. It creates realistic game environments and smart non-player characters (NPCs). Darren Keane, CEO of Storm International, says, “AI is revolutionizing online gaming by providing personalized experiences and improving game design.” AI also improves game security by detecting cheating patterns. This ensures a fair gaming experience for all users.

Retail is another sector transformed by AI. AI analytics understand customer preferences and buying habits. This helps in personalized marketing and inventory management. Virtual fitting rooms let customers try on clothes virtually. AI in logistics optimizes delivery routes, ensuring timely product delivery. Retailers also use AI for dynamic pricing strategies. This helps in maximizing profits while offering competitive prices to customers.

Legal fields also use AI. AI reviews documents and conducts legal research quickly. It identifies relevant information and precedents. This speeds up the research process and reduces costs. AI also helps in contract analysis, ensuring compliance and spotting risks. Law firms use AI for case predictions, improving their chances in court. AI also assists in e-discovery, making it easier to handle large volumes of electronic data.

The transportation sector is changing due to AI. Autonomous vehicles are becoming a reality. They promise to reduce accidents and improve traffic flow. AI traffic management systems optimize signals and reduce congestion. Ride-sharing services use AI to match drivers and passengers efficiently. AI also helps in fleet management, optimizing routes and reducing fuel consumption. Public transportation systems benefit from AI by improving scheduling and service reliability.

AI impacts the energy sector too. Smart grids optimize energy distribution and use. AI predicts energy demand for better resource management. In renewable energy, AI improves the performance of solar panels and wind turbines. This ensures maximum efficiency and output. Energy companies use AI to detect and prevent system failures. This increases the reliability and safety of energy supply.

In conclusion, AI transforms many business sectors. From healthcare to finance, manufacturing to retail, and gaming to education, AI improves efficiency and personalization. Darren Keane emphasizes, “AI in business is not just a trend; it’s reshaping industries and creating new opportunities.” AI will continue to drive innovation and progress across all fields. Businesses that embrace AI will thrive in the competitive landscape. The future of AI in business is bright and full of potential.