Expert Predictions For AI in 2023

We’ve collected industry expert predictions on the future of AI in 2023

 
2022 was a big year for AI, from Chat GPT to Tesla’s ‘Optimus‘, AI has been front and centre of the news agenda.

We asked a panel of experts to provide their predictions on what the AI landscape will look like in 2023.

 

Our Panel of Experts

 

    • David Holland, CEO at Exela
    • Matthew Cockerill, Design Consultant
    • Helene Hall, Founder and CEO at Earneco.com
    • Andrei Papancea, CEO and Co-Founder at NLX
    • Costas​ Michalia, Strategy and Innovation Director at Fiora
    • Pete Hanlon, Chief Technology Officer at Moneypenny
    • Jennifer Mourenza, Digital Marketing Specialist at AccuraCast
    • Robin Röhm, CEO and Co-Founder at Apheris
    • Brett Beranek, General Manager, Security & Biometrics at Nuance
    • Carolyn Prior, UKI Practice Leader Applications, Data and AI at Kyndryl
    • Sean Williams, Founder and Chief Executive at AutogenAI
    • Kevin Thompson, CEO at Tricentis
    • Zohaib Ahmed, CEO and Co-Founder at Resemble AI
    • Ariel Duarte López, Data Scientist at Acuity Trading
    • Miguel Simão, Lead Data Scientist at Stratio
    • Bryan Harris, Executive VP & CTO at SAS
    • Tom Cornell, Senior I/O Psychology Consultant at HireVue
    • Snir Ambar, Head of GlobalDots AI
    • Luke Patterson, Analyst at EthicsGrade
    • Artyom Yukhin, CEO and Founder at Artec 3D
    • David Galea, Director of Digital Leadership at Centigo
    • Danny Clarke, Director, Services & Sales Engineering EMEA at Highspot
    • Dr Yu Liu, Head of Data and Technology at Illuma
    • Christy Kulasingam, Business Strategist and Founder at Radbourne Consulting
    • Dr Leslie Kanthan, Co-Founder and CEO at TurinTech
    • Yassine Tahi, Co-Founder & CEO at Kinetix
    • Ebru Binboga, Director, Data AI and Automation, IBM
    • Joachim Werr, Founder and Executive Chair at HN
    • Paul McGinness, CEO at Lenus Health
    • Edwina Johnson, Head of Global at Alloy
    • Andreas Antoniou, CTO at Biomni
    • Wanda Nijholt, Manager at i-PRO EMEA

 

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David Holland, CEO at Exela

 
David Holland, CEO at Exela
 
“Medical research is being revolutionized by AI: it can be used to develop personalized treatments for diseases and even detect early signs of cancer through deep learning algorithms. Could AI GPs become a thing? 

“The ability to work from remotely has become a reality. Thanks to cloud computing, video conferencing, collaboration software, employees can stay connected even when they are not physically present in the office. This gives employers the flexibility to hire talented individuals regardless of geographic location. This will become even more sophisticated.

“mRNA vaccines have become a vital part of the fight against disease. They introduce genetic material from the virus into our bodies to teach our immune systems how to recognize and fight it. 

“These vaccines have the potential to treat cancer, HIV/AIDS, influenza and heart disease. They could also be used to treat allergies, autoimmune disorders, and hereditary genetic diseases. 

“Tech using ‘space’ including satellites, GPS and mapping will become more relevant. How about potholes in our roads for example? Will we soon be able to collect data on where potholes appear, map out risk factors, predict where they are going to appear and AI robots do minor repairs before they become a problem?” 
 

Matthew Cockerill, Design Consultant 

 
Matthew Cockerill, Independent Strategic Design Consultant 
 
“We’ve become familiar with AI to help us with mundane or complex tasks. At home, we have voice assistants that help us carry out everyday tasks like sending a text message hands free or telling us how many sleeps there are until Christmas. In energy distribution, they help balance energy grids to help accelerate the transition from fuel-based to sustainable methods of energy generation.

“However, recent advances are opening AI for use as a creative collaborator. Text-to-image generators like Mid Journey, DALL-E 2 and Stable Diffusion are already able to generate entirely artificial images through text prompts, allowing anyone with little training to produce incredibly realistic photos and paintings. This marks the beginning of a new era of creative AI collaboration.

“In industrial design, the AI collaborators might help us develop unexpected design alternatives. In architecture, AI is planning better cities in the real world or in the metaverse and softwares like CityEngine create interactive 3D cities all at once rather than creating each building individually; creating more design scenarios to inspire new possibilities.

“These nascent AI collaborators are set to help everybody be more creative. But for professional creatives, these collaborations with AI are set to give us superpowers to solve some of the most important challenges of today.”
 

Helene Hall, Founder and CEO at Earneco.com

 
Helene Hall, Founder and CEO at Earneco.com
 
Last year was pivotal for the progression for AI, consumer expectations and awareness of issues in the status quo. I see a few key areas expanding in 2023, some will likely take significant hold, and others will germinate.

  • AI content generation – OpenAI and ChatGPT have the potential to significantly disrupt marketing and services industries with its powerful and adaptive off the shelf solutions. As more businesses find use cases and existing platforms incorporate the power of AI into their offering, we will likely see significant changes off the back of 2023.
  • Web3 – Blockchain technology. We have not touched the surface of all the benefits we will experience and gain from blockchain, with its inherent encryption and decentralisation. 2023 will see this continue to grow whilst building a Web 3 world in line with expectations.
  • Robots will become more present and acceptable in day-to-day business solutions, appearing more human-like in their appearance, such as concierges in the public arena or performing tasks in manufacturing and logistics.
  • Immersive technology – AR and VR. 2023 will be the year we see technology solutions meet our remote demands of work, play and social environments, bringing immersive experiences to the forefront.

“A more subtle change in perspectives witnessed over the last few years will lead to changes in future technology.

  • Leadership diversification will uncover new technological solutions for the underserved minorities, from changes in healthcare through to the beauty industry.
  • Growing consumer awareness of their power of attention, data, and identity, will require technology solutions to provide better transparency along with the redistribution of wealth to consumers.
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Andrei Papancea, CEO and Co-Founder at NLX

 
Andrei Papancea, CEO and Co-Founder at NLX
 
“Conversational AI will become even more integral to great customer service in 2023. We see a continuing move away from talking about products and a greater focus on conversations, whether they be multimodal, chat, or voice. Multimodal is going to be the big deal as it provides a great self-service option that can guide customers through a flow just like a live agent would via voice and on-screen guidance, but without the need for an agent. It’s a similar engagement, but without needing to wait on hold. 

“Such is the potential for it that, together with AWS, NLX has launched The Showroom, an interactive experience that puts companies in their customers’ shoes. It is personalized and live so that potential users can genuinely experience what end-to-end automated conversations look like on a fully qualified AI platform. We are seeing over half of potential customers looking to leverage a multimodal experience as the first implementation. They are also seeing 90% of customers leveraging two or more channels — often starting with voice and then moving to Whatsapp, web chat, or SMS. We expect that to grow in 2023.”
 

Costas​ Michalia, Strategy and Innovation Director at Fiora

 
Costas​ Michalia, Strategy and Innovation Director
 
“Personally I am excited to explore the human-machine collaboration Gen AI is making possible. From testing UX journeys to creating new images and stories. I can see Generative AI and the Metaverse coming together to create amazing procedural worlds for brands. Imagine a brand like BMW providing the ML engine a particular curve or a set of physical data points mapped across the body of the latest super car and then allowing the AI to map that curve or datapoints in the Metaverse and building environments that are inspired by the cars form, or tracking Messi’s path through a defence and using that to create Adidas’ Meta Hotel. I get goose bumps thinking about all the potential possibilities. 

“On a more sombre note, I am always asked, will this replace creatives – no not for some time. Producing content that has relevancy is one thing, producing content that has charm and is nuanced requires self-awareness and a lifetime of experiences to make intellectual leaps the current platforms are not yet cable of, but it is going to be fun finding out.

“The quality and accuracy of these tools continues to improve and as the world moves towards more and more personalised content and messaging, the need for these tools to be able to produce content based on segmentation and patterns of behaviour that has relevancy will increase exponentially. The creator economy is estimated to be worth in the region of $100 Billion dollars Gen AI will help to augment the industry and in a small way we have seen this impact at Fiora.”
 

Pete Hanlon, Chief Technology Officer at Moneypenny

 
Pete Hanlon, Chief Technology Officer at Moneypenny
 
“AI Will Be More Creative… And Explainable

“2022 saw the release of state-of-the-art image-based AIs such as DALL-E 2 from OpenAI, Imagen from Google and Stable Diffusers from Huggingface, generating photo realistic images from a simple text prompt. For example, the prompt ‘Darth Vader riding a bicycle in the style of Claude Monet’ will create exactly a new image based on its general understanding of what Darth Vader and a bicycle look like, and Claude Monet’s painting style. So, the AI is creating something completely new – a unique image.

“For 2023 the field will move to the next level. Going from generating static images, to 3D models and video generation based on just a text description. I also predict that AI based music generation will progress. While there have been systems able to do this for some time, I think 2023 will be a year where we see AI based music generation improve to the point where you may enjoy listening to it.

“As AI systems and Deep Learning models become ever more complex, it becomes increasingly challenging to explain how systems make predictions. To trust AIs that drive our cars and help run our lives, we need to be able to understand the processes they went through to make a prediction. This is a big area of research by all the large tech companies and many research groups, and I expect this to be a field of research that will continue to improve significantly.”
 

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 Jennifer Mourenza, Digital Marketing Specialist at AccuraCast

 
 Jennifer Mourenza, Digital Marketing Specialist at AccuraCast
 
“We expect AI adoption to become more widespread within marketing. Adaptive AI is one way we see it being used– this will allow tools to use real-time feedback to continuously retrain models and learn within runtime. 

“An example of this is we believe Google will push to further reduce the usage of keyword-based ad targeting, in favour of machine learning & AI led campaigns that target people based on intent rather than their search terms.” 
 

Robin Röhm, CEO and Co-Founder at Apheris

 
Robin Röhm, CEO and Co-Founder at Apheris
 
“With significant questions around trust and ethics, there will be growing calls in 2023 for AI to become regulated and we could see the creation of an AI Office to oversee enforcement of the AI Act across geographies. There will also be an increasingly complex environment for privacy regulation, meaning businesses will struggle to move data across geographical boundaries to develop their AI capabilities.

“AI adoption will continue to accelerate across a range of industries, particularly with the rapid development of foundation models like GPT-3. Leveraging sensitive data that spans across organizational or geographical boundaries will become more important, but increasing regulation will mean centralization is not an option for many businesses. A clear solution is federated learning – a way of working with distributed data. Optimizing the infrastructure and computational efficiency in federated set-ups will be a key priority for organizations in 2023.

“With tougher market conditions this year, we are likely to see the consolidation of AI-first companies, with investment flowing into technologies where there is proven value being generated. We will also see further commoditization of AI, leading to a stronger set of building blocks for models that can then be customized according to local requirements.”
 

Brett Beranek, General Manager, Security & Biometrics at Nuance

 
Brett Beranek, General Manager, Security & Biometrics at Nuance
 
“In 2023, an increasing number of businesses will turn to modern technologies – such as biometrics – to robustly safeguard customers. We’re already seeing banks get immense value—including 92% reductions in fraud losses and 85% increases in customer satisfaction—from biometrics solutions that eliminate authentication effort for customers while making life very tough indeed for fraudsters. Over the next 12 months, I expect to see many more businesses following in their footsteps.

“Traditional authentication methods – such as PINs and passwords – are archaic and no longer fit for purpose. Passwords are being sold on the dark web, exploited for fraudulent activity and have even cost unfortunate individuals vast sums of money in terms of recovery if lost or stolen.”
 

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Carolyn Prior, UKI Practice Leader Applications, Data and AI at Kyndryl

 
Carolyn Prior, UKI Practice Leader Applications, Data and AI at Kyndryl
 
“AI is officially in its profusion era. Technologists have spent years working to flip how AI is applied, from being an additional feature in discrete areas like virtual assistants or recommendation algorithms, to being something which underpins how business is done more broadly. We’re now seeing the impact of that work, with AI-powered automation in major enterprises freeing up thousands of people to retrain for higher-value roles and delivering hundreds of millions in cost savings.

“The context of tightened financial and talent markets is therefore going to be a significant push factor for adoption in the coming year as businesses seek efficiency and flexibility in fundamental processes like IT estate management. As businesses look at the human balance sheet of capacity and workload, it will become increasingly clear that employing AI-powered automation to do work faster and smarter is as existentially necessary as growing the skill base of the workforce.

“As AI spreads throughout mission-critical workflows, it will also generate significant real-world evidence for how it delivers business transformational outcomes like improved customer and employee experience, and sustainability. By this time next year, I expect to see a much broader cross-sector understanding of the positive consequences of automation.”
 

Sean Williams, Founder and Chief Executive at AutogenAI

 

 
“1) Artists and writers will move beyond fear and disbelief at what AI can do and instead start to use it to create new and better work. We will see an explosion of creativity in these fields.

“2) No serious professional writer will work without using an AI-assistant. This includes fiction and non-fiction writing. AI writing tools will be as ubiquitous in written fields as calculators are in numerical fields.

“3) Technologists will start to study Philosophy of Mind seriously. Questions about the nature of consciousness, awareness, qualia and identity will need cross-disciplinary answers. AI research will prove the limits of a purely mathematical approach.

“4) Autonomous vehicles will continue not to work.

“5) The boundary between machine-tasks and human-tasks will become more blurred with far greater awareness of the power of augmented intelligence.

“6) The education system will be slow to react to large language models, then it will over-react with outright bans, then it will come to a slow acceptance. By the end of 2023, we will likely see a more nuanced approach that encourages the responsible use of language models to supplement existing educational approaches.

“7) AI-based therapy and coaching will start to become widespread. AI-based mental health and wellbeing services will become increasingly common as people become more comfortable with the technology.”
 

Kevin Thompson, CEO at Tricentis

 
Kevin Thompson, CEO at Tricentis
 
“When it comes to DevOps, experts are confident that AI is not going to replace jobs, rather, it will empower developers and testers to work more efficiently. AI integration is augmenting people and empowering exploratory testers to find more bugs and issues upfront, streamlining the process from development to deployment.

“In 2023, we’ll see already lean teams working more efficiently and with less risk as AI continues to be implemented throughout the development cycle. Specifically, AI-augmentation will help inform decision-making processes for DevOps teams by finding patterns and pointing out outliers, allowing applications to continuously ‘self-heal’ and freeing up time for teams to focus their brain power on the tasks that developers actually want to do and that are more strategically important to the organization.”
 

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Zohaib Ahmed, CEO and Co-Founder at Resemble AI

 
Zainab
 
“We’ll see more businesses turning to generative audio to bring their brand voice to life. We have helped businesses create a branded voice that is recognizable, unique and relatable to be used for customer service, marketing, and other programs – the use cases will only continue to grow.

“As more businesses use AI to create content, we will see increased use (and applications) of LLM to make conversational apps and tools more human-like, instead of static, finite experiences; the expanded applications will allow small businesses and creators to use these technologies, which will continue to extend how we see AI used across industries.

“The discussion around ethics will continue to be a priority industrywide. We can’t talk about AI without talking about ethics, which Resemble established early on, and there’s more in the works for the industry as a whole to prioritize safety.

Thanks to AI, the budget required to produce entertainment is going to continue to shrink while the line between creators and developers is blurring – both of which reduce barriers to creating film and television.”
 

 Ariel Duarte López, Data Scientist at Acuity Trading

 
 Ariel Duarte López, Data Scientist at Acuity Trading
 
“We will start to see a more significant groundswell around ChatGPT and DALL-E use in everyday applications. 

“With Twitter uping the text allowance up to 4000 characters, many NLP models trained on Twitter or that make use of Twitter data will need to be retrained. Those that forget to do this may see some strange results in the second quarter.

“Finally, research will push further into Neural Networks, reducing the computer resources and improving outcomes.”
 

Miguel Simão, Lead Data Scientist at Stratio

 
Miguel Simão, Lead Data Scientist at Stratio
 
“A single journey by bus pollutes 82% less than the same journey by car. However, in order to create a push towards shared mobility and leverage the socio-environmental benefits of public transport, we need to ensure that it can live up to the promise of reliability; getting passengers where they need to be, when they need to be there. But to guarantee reliability, we need to turn our attention to the most crucial component of public transport: the vehicle.

“The bus is essentially a black box, where vehicle technical data is locked and largely inaccessible. By automating the collection and visualisation of this data, we can unlock the opportunity to predict component failures before they cause unplanned downtime which, in turn, damages consumer trust in bus services. AI predictive maintenance can access and leverage that data, spot patterns that indicate possible failures, and give operators full control over the state of health of their vehicles.

“With some operators already implementing predictive maintenance, the approach will become more ubiquitous in 2023 and beyond. It represents the new frontier when it comes to maximising vehicle availability and ensuring that buses stay on the road, where they need to be, serving passengers.”
 

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Bryan Harris, Executive VP & CTO at SAS

 
Bryan Harris, Executive VP & CTO at SAS
 
“Emerging technologies will continue to disrupt traditional industries, offering future-focused innovation and converging into the next iteration of the web. Technology driven change will continue to shift the way that life and business operate day-to-day, causing an upward disruption and innovation spiral.

“One of the largest impacts AI can make is overcoming information overload by automating data management processes. Already there is more data being made than can realistically be made sense of by humans. Currently organisations struggle to keep up, spending 80% of their time simply wrangling data and 20% of their time performing analysis and modelling. The need to overcome this as it inevitably accelerates in the coming months and years, pushing towards a mass acceptance of advanced AI and analytics.

“As AI solutions become more normalised they will be quickly commercialised, and we can expect to find a whole spectrum of industry specific marketplaces. These marketplaces will be stocked with AI, machine learning and analytic models that can be bought on a subscription basis and used out of the box. Through this, businesses will easily consume and integrate AI models in their business without having to create and manage the model lifecycle.”
 

Tom Cornell, Senior I/O Psychology Consultant at HireVue

 
Tom Cornell, Senior I/O Psychology Consultant at HireVue
 
“As we move into 2023, the slow economic growth and recession within the UK mean we are going to see a continuation of tightening when it comes to hiring. Businesses will also need to contend with growing demand from employees for pay raises because of the cost-of-living crisis and inflation, as well as a growing need to provide mental health advice. Despite this, I suspect the ‘confidence’ those jobseekers have gained in recent times will carry on, so even in the face of high inflation and prices, they’ll be willing to hold off for something better.

“The technology sector is one of high growth, but 2023 we are going to see more legislation proposed and coming into effect, which will affect AI businesses massively. In the short run, this might cause negative sentiment towards AI as it implies there is a need for regulation in the first place, but in the long run, uptake is likely to increase because there will be more consumer confidence in the product. The legislation ultimately means businesses won’t need to be accountable for interpreting what should or shouldn’t be done when developing AI technologies, which is positive for everyone involved.” 
 

Snir Ambar, Head of GlobalDots AI

 
Snir Ambar, Head of GlobalDots AI
 
“Artificial Intelligence (AI) is advancing rapidly, with many new developments and trends shaping the industry. Heading into 2023, expect to see a new level of maturity in some of the key areas of AI, with NLP, edge computing, explainable AI, interdisciplinary research, and generative models taking center stage.Natural Language Processing is one of the most active areas of AI research, enabling more powerful and sophisticated language models that can understand and respond to human speech with increasing accuracy, bringing new possibilities for customer service, chatbots, and virtual assistants.Explainable AI (XAI) is set to become increasingly important as we see AI being integrated into everyday life. 

“Due to this, we need systems that can provide human-understandable explanations of how decisions are made, building trust and transparency. AI is becoming more interdisciplinary as researchers from different fields, such as neuroscience and psychology increasingly collaborate to better understand the mechanisms underlying intelligence.

“Finally, generative models can create new, original content such as music, art and text, opening new possibilities for human creativity and revolutionizing industries. Overall, 2023 promises to be an exciting year for AI, as new technologies and techniques continue to emerge and push the boundaries of what is possible.”
 

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Luke Patterson, Analyst at EthicsGrade

 
Luke Patterson, Analyst at EthicsGrade
 
“2022 was the year in which AI demonstrated itself to the mainstream with language models such as ChatGPT 3 exciting users across the globe. The new attention brought about by ChatGPT has created a sense of urgency and demand for AI policy and transparency. 2023 will be the year that the AI hype-bubble bursts and the rose-tinted glasses fall off.

“AI is already being scrutinised; academia is banning the use of ChatGPT 3 for writing academic papers. AI governance will be at the forefront of 2023 with new standards hubs, acts and laws all underway. We are hopeful that users will become more aware of their own data agency and that upcoming laws will allow for tangible action in AI ethics.

“However, we also expect some interesting use cases to emerge from the increasing adoption of generative AI systems. There will be many opportunities for businesses to embed generative AI models into their existing products.

“Also, as the crisis of public services in the UK deepens coming into 2023, we expect that AI-led processes will continue to be implemented to ease the burden on a struggling NHS. AI use in the UK public health system will grow. The risk is that these services will be packaged with the narrative that AI services are a means to make care more accessible, whilst creating a gap between those who can afford human care versus robot care.”
 

Artyom Yukhin, CEO and Founder at Artec 3D

 
Artyom Yukhin, CEO and Founder at Artec 3D
 
“AI has been a developing technology over the past few years that has already achieved stunning results in data comprehension. AI can now recognise and synthesize music, speech and texts, photos and paintings. As to comprehension three dimensional data – there is still a long way to go. Our team is working on it for last 15 years and has already solved few very impressive tasks but I expect a lot of major and exciting results in this area stiil to follow in the next years. Teaching the computer to comprehend 3D data will completely overhaul many industries that work primarily in three dimensions from construction to manufacturing by cutting costs and driving innovation exponentially across the board.

“3D technology has already come a long way in changing the way these industries work but, for further progress, AI is vital. The amount of raw data we get from scanning large projects counts for terabytes and petabytes and, with big metaverse city projects, it will soon reach exabytes and zettabytes. These amounts of data are impossible to process and use effectively without automatic data understanding and converting it into more compact data models. That is what we are constantly working on at Artec 3D.

“2023 will see AI to reach new results in three dimensions and once it does the implications for industry and innovation are endless.”
 

David Galea, Director of Digital Leadership at Centigo

 
David Galea, Director of Digital Leadership at Centigo
 
“Artificial Intelligence has sparked the battle between algorithms.  During the year 2023, we will see visible changes across business models of several industries.  The Insurance Industry is expected to progressively move from risk management to risk avoidance based on outcomes and predictions generated through machine learning tools. 

“Retail operations will make use of more powerful applications to customise their services whilst enhancing their customer experience through more sophisticated chatbots, omnichannel integration whilst having proper channels to optimise their understanding of indirect customer feedback based on a sentiment analysis of mentions in social media. Although driverless cars will not materialise during the year, we expect to see more features included in advanced assisted driving systems (ADAS) promoting road safety and driver efficiency.  

“In the manufacturing sector, predictive modelling tools involving the management of the supply chain are expected to be integrated with IoT devices to enhance automation whilst optimising performance.  In a similar fashion, the combined power of IoT and AI instigated further by the COVID pandemic in the previous years is expected to fuel the growth of several new wearable devices and technologies in the health and fitness sector that monitor performance whilst providing customised recommendations for users within defined parameters.”
 

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Danny Clarke, Director, Services & Sales Engineering EMEA at Highspot

 
Danny Clarke, Director, Services & Sales Engineering EMEA at Highspot
 
“The power of AI in a marketing and sales environment has long been overlooked in the UK & Europe, but this year that is all set to change. AI-powered sales enablement tools have been making waves in the US for some time and adoption in the UK has steadily increased in recent years.

“AI-powered solutions can provide the best content for sellers to engage customers, as well as relevant guidance and training to help sellers have a more effective conversation consistently. This leads to marketers being able to quantify the business impact of the content they manage, and sales leaders being able to coach sellers to more consistent conversations.

“In 2023 we can expect to see the adoption of AI-enabled software aid sales and marketing professionals in their day-to-day roles, increase the amount of successful deals for businesses, and help leaders commit to an ongoing culture of coaching for their teams. This software will soon be an essential part of any business.”
 

Dr Yu Liu, Head of Data and Technology at Illuma

 
Dr Yu Liu, Head of Data and Technology at Illuma
 
“Since GDPR, the way that businesses use personal data to market themselves to consumers has come under close scrutiny. As a result, Google is disabling third-party tracking cookies in 2024, heavily impacting brands who are using programmatic advertising. 

“Various solutions are being trialled, most of them looking at content, rather than personal identity, when deciding where to place ads. But contextual targeting can be prone to inaccuracies and wastage – machines can only go so far when it comes to understanding the nuances of online content. 

“AI techniques such as Natural Language Processing and Deep Learning have now started to train the algorithms to process pages more efficiently; while AI-powered recommendation engines are allowing marketers to expand their campaigns based on live insights.

“As the cookie deadline approaches, we expect to see more and more focus on AI and how it can address the pain-points of contextual advertising square-on, by further improving accuracy, scalability, capability and the categorisation of online content. 

“So for smart businesses seeking privacy-friendly, high-performing advertising post-cookie, contextual-AI is one to watch.”
 

Christy Kulasingam, Business Strategist and Founder at Radbourne Consulting

 
Christy Kulasingam, Business Strategist and Founder at Radbourne Consulting
 
“There are many new technologies augmenting the way we do business. AI, AR and VR are likely to make waves in 2023 and beyond. 

“With challenges and change all around us, staying still is not an option. Some businesses have chosen to take risk-averse courses of action. A ‘head in the sand’ approach leads to missed opportunities, especially in the ever-changing tech world. Competitors may pounce on new product ideas and business models, while you pause spending on transformational initiatives. 

“Awareness of up-and-coming technology is important, but how you incorporate these into your business will be mission-critical in 2023. It’s tempting to jump onto each new technology as it gains traction, especially if competitors are. The recent excitement around ChatGPT is an example. But they will only be transformative if they contribute to your specific business outcomes. Assess your priorities first. Be that increased revenue, reduced costs, access to new markets, recruiting new talent, or something else. Then see what technology can assist, how easy it would be to implement in your context, and how impactful it will be in moving the needle for your chosen business outcomes. 

There’s no going back to pre-pandemic non-digital ways. Technology opens global doors for employers and employees alike. But there are downsides of overreliance on digital and virtual. They can make us ‘always on’ and ‘always connected’ which is not always desirable. The strongest relationships are those nurtured face-to-face. In 2023 we cannot lose sight of the human element.” 
 

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Dr Leslie Kanthan, Co-Founder and CEO at TurinTech

 
Dr Leslie Kanthan, Co-Founder and CEO at TurinTech
 
“As Machine Learning adoption continues to mature, companies will begin to compete on who can improve the speed and quality of their model code faster whilst utilising the least number of resources. They will start realising the importance of owning the AI code for business-critical applications. This will see a shift from using off-the-shelf AI solutions for generic use cases to building inhouse AI solutions for unique business use cases.

“Given the geopolitics conflicts, energy crisis and economic downturn, companies will also be forced to focus on cost-cutting measures to drive down the cost of existing AI applications. This could take the form of optimising processes, or prioritising AI innovations that will guarantee short term ROI.”
 

Yassine Tahi, Co-Founder & CEO at Kinetix

 
Yassine Tahi, Co-Founder & CEO at Kinetix
 
“Late 2022 sparked major attention on generative AI as prompt-based general models experienced unprecedented success. For example, ChatGPT reached 1 million users in 5 days, which took months for Instagram and years for Netflix.

“I believe 2023 will see the emergence of Specialised AI models that leverage general models to manage specific tasks or apply specific styles. They empower people to create rich content from a single prompt which previously required high technical skills: 3D assets (objects, animations, environments), videos, music… Competitive and innovative industries such as gaming are more and more eager to integrate those solutions into their workflow to enhance their products.

“AI-as-a-service is a trend I imagine growing in 2023. Combining multiple AI models within usable and intuitive interfaces will become a standard for end-to-end services to users. For example, what Kinetix does with different algorithms (motion extraction from videos, style transfer, and blend) that address multiple needs to offer a unified platform for 3D animation creation.

“By the end of 2023, we envision that millions of gamers will interact with AI-generated assets, worlds and experiences. It is the first milestone in familiarising everyone with AI. In a few years AI will be integral and core to every entertainment experience.”
 

Ebru Binboga, Director, Data AI and Automation, IBM

 
Ebru Binboga, Director, Data AI and Automation, IBM
 
“Over the past decade, AI technology has advanced exponentially, and this will only accelerate in 2023. This is good news for businesses as they work to reduce cost, increase productivity and mitigate a skilled labour shortage – all of which AI and intelligent automation technology can help address. 

“In tough economic times, many companies will focus on building resilient digital infrastructure, and defining the priority services to build on top of that infrastructure. Our recent research with MorningConsult shows that 24% of UK business leaders consider AI to be a priority investment for the next two years and 24% plan to embed automation into their infrastructure, which will help to reduce cost and free up workers’ time to focus on higher value tasks. 

“Investing in AI and automation is not only fundamental to building a resilient digital ecosystem, it’s also essential for driving improvements to employee and customer experiences by leveraging data to create hyper-personalised services. Profitability, rather than customer demand, is the key driver here, with more than three in four leaders investing in these technologies to drive profitability, according to our research.

“Another trend we’re seeing is a greater appreciation of the role of AI- and automation-powered solutions in tackling cybersecurity threats. IBM’s latest Cost of a Data Breach report found that organisations that had fully deployed AI and automation in their security systems paid over $3 million less in average breach costs compared to those who had not deployed these capabilities at all. This will focus minds in the C-suite as the security threat grows amid intensifying pressure on the bottom line”.
 

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Joachim Werr, Founder and Executive Chair at HN

 
Joachim Werr, Founder and Executive Chair at HN
 
“I think we’ve reached a watershed moment in healthcare. In 2023 we’ll see the widespread adoption of AI tools to transform care. With European healthcare systems in crisis as demand continues to grow and the workforce crises intensifies, traditional healthcare models are unsustainable long term. The use of AI in healthcare – specifically AI-powered predictive analytics – offers an incredible opportunity to improve the allocation of preventative care resources, reduce healthcare costs and deliver better patient outcomes.

“This has the potential to shift the current state of healthcare from firefighting at the front door to a new, more proactive and longer-term approach that can identify vulnerable patients before need emergency care. Crucially, and unlike other AI tools seen in previous years, technology such as HN’s AI-guided case finding can be easily implemented in healthcare systems as it uses existing healthcare data.

“2023 will also see a shift to more personalised care as the burden of people living with long term conditions and frailty increases. This will include more support for self-management, as well as person-centred approaches. I am confident 2023 will be the breakthrough year for AI-guided predictive analytics that supports people living with ill-health, enabling them to have better outcomes”
 

Paul McGinness, CEO at Lenus Health

 
Lenus
 
“I expect 2023 to be the year that the NHS really harnesses the benefits of AI risk stratification in clinical workflows, providing multi-disciplinary teams with invaluable data insight to support earlier and more effective interventions for patients with long term conditions (LTCs).

“LTCs are a major challenge for global systems, accounting for roughly thirty per cent of patients and seventy per cent of expenditure. We know what best practices are, but unfortunately patients with LTCs are still winding up in hospital due to delayed diagnoses and reactive management that is further exacerbated by health inequalities.

“Following support from the NHS’ Artificial Intelligence in Health and Care Award, we’ve completed cutting edge work on model fairness and explainability that has given both patients and clinicians confidence using it to improve everyday chronic disease management. It analyses health data from COPD patients, enhanced by symptom diaries, integrated medical devices and wearables, to predict the risk of deterioration, enabling targeted intervention by care teams.

“AI risk stratification in live clinical workflow will help reduce pressures on acute care, improve patient outcomes, and release much-needed time back to care teams and patients who will spend less time in hospital. We look forward to studying these benefits further as we prepare for explainable AI to be rolled out in digital COPD pathways in 2023.”
 

Edwina Johnson, Head of Global at Alloy 

 
Edwina-Johnson-Alloy.jpeg
 
“The cost of fraud is climbing. Alloy’s latest data reveals 91% of decision-makers at financial institutions said that fraud has increased year on year. Respondents identified AI and ML-powered models as the top emerging technology for fighting fraud, with 59% of institutions planning to invest in this category in 2023. This opens an exciting window of opportunity for startups building in the space.

“FIs broadly understand the difficulty of attracting talent and creating the environment necessary to build novel capabilities in-house with AI and ML. Most will collaborate with external partners to develop innovative fraud-fighting tech. The companies poised to win their business will have the funding, data and agility to move much faster than teams within a larger enterprise.

“As we’ve seen with ChatGPT, success is less about the underlying technology, and more about the training. Getting fresh, high-quality data for what fraud looks like at any given time may be the key to unlocking the next level of success. This information is highly coveted and closely guarded, so fintechs with close partnerships and wide adoption will have the upper hand.”
 

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Andreas Antoniou, CTO at Biomni 

 
Andreas Antoniou, CTO at Biomni 
 
“There has been an explosion of AI within the corporate space, particularly over the last 5 years. Use cases and features are becoming increasingly understood, accepted and exploited by “citizen” developers across the workforce. That trend is going to continue in 2023 and beyond as AI becomes more accessible.

“One of the most prominent AI examples currently is ChatGPT. It has garnered a lot of attention as one of the largest natural language models to date. It has an incredible ability to generate a natural language response to pretty much any question. This can prove incredibly helpful in scenarios such as drafting content, carrying out research, or even writing computer code.

“But for many enterprises assessing the corporate usefulness of something like ChatGPT within a wider chat bot initiative in the year ahead, they lack the most important element – your specific data. 

“Whether it be in a customer support or employee self-service setting, a chatbot must fulfil its primary objective of understanding what a user wants as quickly as possible and guiding them to a meaningful, accurate answer. Sometimes this answer will simply be presenting information, but increasingly it’s guiding them through a process. It’s the training with your unique enterprise data and the incorporation of your processes which will ensure your customers or employees keep faith in your chatbot initiative and don’t resort to other channels.”
 

Wanda Nijholt , Manager at i-PRO EMEA

 
Wanda
 
“2023 will see significant adoption of AI-based analytics. There is simply too much data for humans to monitor effectively, so AI-based analytics will be a catalyst that enables IT departments to do more with less. This evolution will drive a significant shift in operational stance by enabling organisations to become more proactive in response to real-time events instead of reacting to past events. In 2023, the challenge will be in how effectively organisations are able to utilise this data cross-departmentally to increase efficiencies and revenue.

“As AI-based technologies continue to advance, the industry will continue to see specialised tools being created by expert developers with a focus on solving unique challenges. Open platforms provide best-in-class developers with access to large markets. Much like today’s successful app-based economy for computers and smartphones, this proven model will continue to take shape and offer integrators and end users the level of customisation they’ve come to expect from technology. The future of the industry will be led by those who embrace open strategy as a best-in-class business practice. Creating flexible infrastructures for AI analytics developers to easily plug-into will further aid the democratisation of AI across industries.”
 

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