Laura Foster, Associate Director of Technology and Innovation at techUK, said: “The UK has a unique opportunity to lead in the global semiconductor landscape, but success will require bold action and sustained commitment.

“By accelerating the implementation of the National Semiconductor Strategy, we can unlock investment, foster innovation, and strengthen our position in this critical industry.  

Semiconductors are the backbone of modern technology, powering everything from consumer electronics to AI data centres. With the global semiconductor market projected to reach $1 trillion by 2030, the UK must act to secure its historic leadership in this lucrative and strategically vital industry.

“We must act at pace to secure the UK’s semiconductor future and as such our technological and economic resilience,” explains Foster.

UK semiconductor industry strengths and challenges

The UK has long been a leader in semiconductor design and intellectual property (IP), with Cambridge in particular serving as a global hub for innovation.

Companies like Arm, which designs chips used in 99% of the world’s smartphones, exemplify the UK’s strengths in this area. However, a techUK report warns that these strengths are under threat due to insufficient investment, skills shortages, and a lack of tailored support for the sector.

“The UK is not starting from zero,” the report states. “We have globally competitive capabilities in design and IP, but we must double down on these strengths to compete internationally.”

The UK’s semiconductor industry contributed £12 billion in turnover in 2021, with 90% of companies expecting growth in the coming years. However, the sector faces significant challenges, including high costs, limited access to private capital, and a reliance on international talent.

The report highlights that only 5% of funding for UK semiconductor startups originates domestically, with many companies struggling to find qualified investors.

A fundamental need for strategic investment and innovation

The report makes 27 recommendations across six key areas, including design and IP, R&D, manufacturing, skills, and global partnerships.

Some of the key proposals include:

• Turn current strengths into leadership: The UK must leverage its existing capabilities in design, IP, and compound semiconductors. This includes supporting regional clusters like Cambridge and South Wales, which have proven track records of innovation.

• Establishing a National Semiconductor Centre: This would act as a central hub for the industry, providing support for businesses, coordinating R&D efforts, and fostering collaboration between academia and industry.

• Expanding R&D tax credits: The report calls for the inclusion of capital expenditure in R&D tax credits to incentivise investment in new facilities and equipment.

• Creating a Design Competence Centre: This would provide shared facilities for chip designers, reducing the financial risk of innovation and supporting the development of advanced designs.

• Nurturing skills: The UK must address the skills shortage in the semiconductor sector by upskilling workers, attracting international talent, and promoting STEM education.

• Capitalise on global partnerships: The UK must strengthen its position in the global semiconductor supply chain by forming strategic partnerships with allied countries. This includes collaborating on R&D, securing access to critical materials, and navigating export controls.

Urgent action is required to secure the UK semiconductor industry

The report warns that the UK risks falling behind other nations if it does not act quickly. Countries like the US, China, and the EU have already announced significant investments in their domestic semiconductor industries.

The European Chips Act, for example, has committed €43 billion to support semiconductor infrastructure, skills, and startups.

“Governments across the world are acting quickly to attract semiconductor companies while also building domestic capability,” the report states. “The UK must use its existing resources tactically, playing to its globally recognised strengths within the semiconductor value chain.”

The UK’s semiconductor industry has the potential to be a global leader, but this will require sustained investment, strategic planning, and collaboration between government, industry, and academia.

“The UK Government should look to its semiconductor ambitions as an essential part of delivering the wider Industrial Strategy and securing not just the fastest growth in the G7, but also secure and resilient economic growth,” the report concludes.

(Photo by Rocco Dipoppa)

See also: AI in 2025: Purpose-driven models, human integration, and more

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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The government has committed to all 50 recommendations outlined in the ambitious AI Opportunities Action Plan created by Matt Clifford CBE, tech entrepreneur and chair of the Advanced Research and Invention Agency.

“Our plan will make Britain the world leader,” declared Starmer. “That means more jobs and investment in the UK, more money in people’s pockets, and transformed public services. That’s the change this government is delivering.”

The plan positions AI as a key driver of national progress, aiming to revolutionise public services, boost productivity, and establish the UK as a global leader in the field.

Chris Lehane, Chief Global Affairs Officer at OpenAI, said: “From the locomotive to the Colossus computer, the UK has a rich history of leadership in tech innovation and the research and development of AI.

“The government’s AI action plan – led by the Prime Minister and Secretary Peter Kyle – recognises where AI development is headed and sets the UK on the right path to benefit from its growth. The UK has an enormous national resource in the talent of its people, institutions, and businesses which together can leverage AI to advance the country’s national interest.”

A plan to unlock economic potential

The economic benefits of AI adoption form a central tenet of the government’s strategy. The International Monetary Fund estimates that embracing AI could increase productivity by 1.5 percentage points annually. Over a decade, this could add up to £47 billion in economic gains per year, according to Treasury calculations.

The strategy aims not only to grow the economy but to create tangible benefits for citizens.

Dr Jean Innes, CEO of the Alan Turing Institute, said: “This plan offers an exciting route map, and we welcome its focus on adoption of safe and responsible AI, AI skills, and an ambition to sustain the UK’s global leadership, putting AI to work driving growth, and delivering benefits for society.

“We share these ambitions and look forward to working with the government, universities, industry and civil society to shape the future of these technologies to support the UK’s success and improve people’s lives.”

Three major companies – Vantage Data Centres, Nscale, and Kyndryl – have already pledged a combined £14 billion in investments, creating 13,250 jobs across the country and reinforcing confidence in the UK’s AI potential. This adds to the £25 billion in commitments secured at last year’s International Investment Summit.

Vantage Data Centres is set to invest over £12 billion in UK data centre projects, including one of Europe’s largest data centre campuses in Wales. Meanwhile, Kyndryl will establish a new tech hub in Liverpool—creating up to 1,000 AI-related jobs. Nscale plans to back UK data centre infrastructure with a $2.5 billion investment, which includes the construction of the nation’s largest sovereign AI data centre in Essex by 2026.

Alison Kay, VP for UK and Ireland at Amazon Web Services (AWS), said: “At AWS, we’ve seen first-hand the benefits that digital technologies like AI can bring, and that’s why we’ve announced plans to invest £8 billion over the next five years building, operating, and maintaining data centres in the UK.

“By putting close industry collaboration and public-private partnership at the heart of the government’s agenda, every citizen, community and business in every region of the UK will have the opportunity to realise the benefits of AI, and thrive and grow.”

Zahra Bahrololoumi CBE, CEO of Salesforce UK and Ireland, added: “Businesses in the UK are in a prime position to fully unlock the opportunities of AI, thanks to a strong innovation culture and risk-based laws. That is why Salesforce chose the UK as the location of its first-ever AI Centre, building on our commitment to invest $4 billion in our UK operations to harness the transformational power of AI.”

Transforming public services  

AI is already being deployed within UK hospitals, helping to modernise the NHS by diagnosing conditions such as breast cancer more swiftly, improving care for non-verbal patients, and expediting patient discharges.

“NHS datasets could be invaluable for impactful AI innovations in healthcare,” said Dr Bilal, Professor of Applied AI and Technology Ethics at Birmingham City University. “But they remain largely inaccessible to many researchers due to prohibitive costs and logistical hurdles.”

“Initiatives like NHS Secure Data Environments are a great start but must be made more affordable, or ideally free, for academic institutions.

Beyond healthcare, the government is betting that broader adoption of AI could achieve similar efficiencies in other public sectors. For instance, the plan highlights its potential to reduce administrative workloads for teachers, speed up planning consultations to facilitate new housing developments, and even identify potholes on roads via AI-enhanced cameras to expedite repairs.

The new strategy introduces AI Growth Zones, designed to accelerate the development of critical infrastructure. These zones will not only expedite planning permissions but also ensure dedicated energy connections to power AI projects. The first such zone will be established in Culham, Oxfordshire.  

Building AI infrastructure  

Supporting the UK’s AI aspirations requires significant investment in infrastructure. The plan includes:  

• A twentyfold increase in public compute capacity, with immediate work commencing on a new supercomputer to support AI advancements.  
• The creation of a National Data Library, designed to safely unlock the potential of public data to fuel AI innovation.  
• The establishment of a dedicated AI Energy Council, chaired by the Science and Energy Secretaries, to address the energy demands of AI development. This aligns with the government’s goal of becoming a clean energy superpower.  
• A new government team tasked with developing the UK’s sovereign AI capabilities.  

The government also aims to provide stability for businesses by balancing the dynamism of the US and the regulatory guardrails seen in the EU.

Science, Innovation, and Technology Secretary Peter Kyle said the UK would leverage its unique strengths: “We already have remarkable strengths we can tap into when it comes to AI—building our status as the cradle of computer science and intelligent machines and establishing ourselves as the third largest AI market in the world.”

Reservations and risks with the AI action plan

While the ambitious plan has been met with enthusiasm by many, industry experts caution against overlooking the potential risks posed by unregulated AI deployment.

Dr Pia Hüsch, Research Fellow in Cyber, Technology and National Security at RUSI, commented: “Labour’s AI Opportunities Action Plan has economic growth as the top priority, shifting focus away from the previous government’s priorities around AI safety and regulation.

“While the focus on investing in infrastructure such as computing power and a national data library is welcome, the UK Government must not forget risks posed by AI technologies or the international partnerships that are needed to secure long-term benefit from AI technologies.”

Similarly, Deryck Mitchelson, Global Chief Information Security Officer at Check Point Software, expressed concerns about security and ethics: “AI integration without airtight security measures will only amplify these risks. External oversight of AI models and training datasets is essential—not optional.

“We need built-in equality, ethics, and a transparent framework to measure outcomes and prove these systems genuinely enhance performance, not just cut costs.”  

Mitchelson warned that hasty deployment could erode public trust in AI-driven services and deepen inequality. He emphasised that the government must present this initiative as more than a cost-saving strategy and instead prioritise transparency, accountability, and robust safeguards.  

The AI Opportunities Action Plan is a key pillar of the government’s Industrial Strategy and the first stage of a forthcoming Digital and Technology Sector Plan. It also ties into the government’s broader Plan for Change, aiming to ensure AI’s benefits are felt across every corner of the UK.

Chancellor Rachel Reeves MP underscored the initiative’s dual focus on economic growth and public service transformation: “AI is a powerful tool that will help grow our economy, make our public services more efficient and open up new opportunities to help improve living standards.

“This action plan is the government’s modern industrial strategy in action.”  

As the UK accelerates efforts to harness AI, it faces the dual challenge of staying ahead in the global race for innovation while ensuring the potential pitfalls of the technology are minimised. Today’s announcements mark a bold step forward, but the road ahead will require careful navigation.

See also: Sam Altman, OpenAI: ‘Lucky and humbling’ to work towards superintelligence

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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New records, part of the Algorithmic Transparency Recording Standard (ATRS), were published this week to shed light on the AI tools being used and set a benchmark for transparency and accountability in the integration of technology in public service delivery.

The initiative is part of the government’s broader strategy to embrace technology to improve outcomes, echoing commitments outlined in the “Plan for Change” to modernise public services and drive economic growth through innovative solutions.

The power of AI for modernisation

Among the published records, the Foreign, Commonwealth and Development Office is leveraging AI to provide faster responses to Britons seeking assistance overseas. Similarly, the Ministry of Justice is utilising algorithms to help researchers gain a deeper understanding of how individuals interact with the justice system, while other departments are deploying AI to enhance job advertisements.

The ATRS aims to document how such algorithmic tools are utilised and ensure their responsible application. By doing so, the government hopes to strengthen public trust in these innovations while encouraging their continued adoption across sectors.

Speaking on the government’s approach, Science Secretary Peter Kyle remarked:  

“Technology has huge potential to transform public services for the better; we will put it to use to cut backlogs, save money, and improve outcomes for citizens across the country.

Transparency in how and why the public sector is using algorithmic tools is crucial to ensure that they are trusted and effective. That is why we will continue to take bold steps like releasing these records to make sure everyone is clear on how we are applying and trialling technology as we use it to bring public services back from the brink.”

Specifically, the Department for Business and Trade has highlighted its algorithmic tool designed to predict which companies are likely to export goods internationally.

The AI-driven approach allows officials to target support towards high-growth potential businesses, enabling them to reach global markets faster. Previously reliant on time-consuming manual methods to analyse the more than five million companies registered on Companies House, this advancement ensures better allocation of resources and expedited assistance.

Business Secretary Jonathan Reynolds said:  

“Our Plan for Change will deliver economic growth, and for that to succeed, we need to support companies across the UK to realise their full potential when it comes to exporting around the globe.

Our use of AI plays a vital and growing role in that mission, allowing high-growth businesses to maximise the export opportunities available to them, while ensuring that we are using taxpayers’ money responsibly and efficiently in delivering economic stability.”

Establishing clear guidelines for AI in public services

To bolster public trust, new guidelines have been announced to clarify the scope of algorithmic transparency records.

Central government organisations will need to publish a record for any algorithmic tool that interacts directly with citizens or plays a significant role in decision-making about individuals. Limited exceptions, such as those concerning national security, apply.  

These records will be published once tools are piloted publicly or have become operational. They will detail the data used to train AI models, the underlying technologies, and the measures implemented to mitigate risks.

Importantly, the records also seek to confirm that – while AI tools are used to accelerate decision-making processes – human oversight remains integral, with trained staff responsible for final decisions.

Dr Antonio Espingardeiro, a member of IEEE and an expert in software and robotics, commented:

“AI has the potential to radically transform the public sector. In recent years, we have seen AI become a credible part of everyday public services. As it becomes more sophisticated, AI can conduct data-heavy tasks traditionally undertaken by humans. It can analyse vast quantities of information and, when coupled with machine learning, search through records and infer patterns or anomalies in data that would otherwise take decades for humans to analyse.

With this announcement, the UK government has acknowledged AI’s potential and proven that technology investment is essential to improving outcomes and the delivery of vital services. Over time, machine learning and generative AI (GenAI) could bring substantial value to the public system. With increased adoption, we will soon be able to deliver the scalability that the public sector needs and relieve the pressures and workloads placed on staff.”

Eleanor Watson, also a member of IEEE and an AI ethics engineer affiliated with Singularity University, added:

“With AI growing more rapidly than ever before, and already being tested and employed in education, healthcare, transportation, finance, data security, and more, the government, tech leaders, and academia should work together to establish standards and regulations for safe and responsible development of AI-based systems. This way, AI can be used to its full potential as indicated with this latest announcement.

Data privacy is probably the most critical ethical consideration, requiring informed consent, data anonymisation, strict access controls, secure storage, and compliance. New techniques such as homomorphic encryption, zero-knowledge proofs, federated learning, and part-trained models can help models to make use of our personal data in an encrypted form.”

Transparency remains a key tenet of the UK Government’s AI strategy. This announcement follows a recent statement by Pat McFadden, Chancellor of the Duchy of Lancaster, who affirmed that the benefits of technology – particularly AI – must span both public and private sectors and be used to modernise government.

As the Science Secretary’s department solidifies government efforts to create a “digital centre,” it marks a major step forward in boosting the responsible and effective use of AI across the UK’s public sector.

The ATRS records offer a valuable template for how governments worldwide can deploy AI systems to maximise efficiency, grow transparency, and balance the need for innovation with ethical considerations.

(Photo by Shreyas Sane)

See also: MHRA pilots ‘AI Airlock’ to accelerate healthcare adoption

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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In this article, we delve deeper into the key findings and implications—drawing on additional sources to enhance our understanding.

Thriving industry with significant growth

The study highlights the remarkable growth of the UK’s AI sector. With over 3,170 active AI companies, these firms have generated £10.6 billion in AI-related revenues and employed more than 50,000 people in AI-related roles. This significant contribution to GVA (Gross Value Added) underscores the sector’s transformative potential in driving the UK’s economic growth.

Mark Boost, CEO of Civo, said: “In a space that’s been dominated by US companies for too long, it’s promising to see the government now stepping up to help support the UK AI sector on the global stage.”

The study shows that AI activity is dispersed across various regions of the UK, with notable concentrations in London, the South East, and Scotland. This regional dispersion indicates a broad scope for the development of AI technology applications across different sectors and regions.

Investment and funding

Investment in the AI sector has been a key driver of growth. In 2022, £18.8 billion was secured in private investment since 2016, with investments made in 52 unique industry sectors compared to 35 sectors in 2016.

The government’s commitment to supporting AI is evident through significant investments. In 2022, the UK government unveiled a National AI Strategy and Action Plan—committing over £1.3 billion in support for the sector, complementing the £2.8 billion already invested.

However, as Boost cautions, “Major players like AWS are locking AI startups into their ecosystems with offerings like $500k cloud credits, ensuring that emerging companies start their journey reliant on their infrastructure. This not only hinders competition and promotes vendor lock-in but also risks stifling innovation across the broader UK AI ecosystem.”

Addressing bottlenecks

Despite the growth and investment, several bottlenecks must be addressed to fully harness the potential of AI:

• Infrastructure: The UK’s digital technology infrastructure is less advanced than many other countries. This bottleneck includes inadequate data centre infrastructure and a dependent supply of powerful GPU computer chips. Boost emphasises this concern, stating “It would be dangerous for the government to ignore the immense compute power that AI relies on. We need to consider where this power is coming from and the impact it’s having on both the already over-concentrated cloud market and the environment.”

• Commercial awareness: Many SMEs lack familiarity with digital technology. Almost a third (31%) of SMEs have yet to adopt the cloud, and nearly half (47%) do not currently use AI tools or applications.

• Skills shortage: Two-fifths of businesses struggle to find staff with good digital skills, including traditional digital roles like data analytics or IT. There is a rising need for workers with new AI-specific skills, such as prompt engineering, that will require retraining and upskilling opportunities.

To address these bottlenecks, the government has implemented several initiatives:

• Private sector investment: Microsoft has announced a £2.5 billion investment in AI skills, security, and data centre infrastructure, aiming to procure more than 20,000 of the most advanced GPUs by 2026.

• Government support: The government has invested £1.5 billion in computing capacity and committed to building three new supercomputers by 2025. This support aims to enhance the UK’s infrastructure to stay competitive in the AI market.

• Public sector integration: The UK Government Digital Service (GDS) is working to improve efficiency using predictive algorithms for future pension scheme behaviour. HMRC uses AI to help identify call centre priorities, demonstrating how AI solutions can address complex public sector challenges.

Future prospects and challenges

The future of the UK AI sector is both promising and challenging. While significant economic gains are predicted, including boosting GDP by £550 billion by 2035, delays in AI roll-out could cost the UK £150 billion over the same period. Ensuring a balanced approach between innovation and regulation will be crucial.

Boost emphasises the importance of data sovereignty and privacy: “Businesses have grown increasingly wary of how their data is collected, stored, and used by the likes of ChatGPT. The government has a real opportunity to enable the UK AI sector to offer viable alternatives.

“The forthcoming AI Action Plan will be another opportunity to identify how AI can drive economic growth and better support the UK tech sector.”

• AI Safety Summit: The AI Safety Summit at Bletchley Park highlighted the need for responsible AI development. The “Bletchley Declaration on AI Safety” emphasises the importance of ensuring AI tools are transparent, fair, and free from bias to maintain public trust and realise AI’s benefits in public services.

• Cybersecurity challenges: As AI systems handle sensitive or personal information, ensuring their security is paramount. This involves protecting against cyber threats, securing algorithms from manipulation, safeguarding data centres and hardware, and ensuring supply chain security.

The AI sector study underscores a thriving industry with significant growth potential. However, it also highlights several bottlenecks that must be addressed – infrastructure gaps, lack of commercial awareness, and skills shortages – to fully harness the sector’s potential.

(Photo by John Noonan)

See also: EU AI Act: Early prep could give businesses competitive edge

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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How to create a digital marketing strategy with AI

AI has opened up a vast array of new possibilities for digital marketers, enabling them to gain competitive advantages and engage with customers in innovative ways. Among such tools are artificial intelligence marketing platforms, which in essence, are software that leverage AI technology to perform tasks and help marketers make insightful business decisions.

From predicting customer behaviour to automating tasks, AI marketing tools can help marketers save time, increase efficiency, optimise efforts, and boost ROI by identifying patterns from historical marketing data. 

In this article, we’ll delve into the world of AI marketing strategy, exploring how to create a powerful digital marketing plan by harnessing AI-driven tools and technology.

The power of AI in marketing

Using AI for marketing has rapidly become a game-changer in the world of digital marketing. Its ability to process vast amounts of data, analyse patterns, and make real-time decisions has made it an indispensable tool for marketing teams. Here’s how you can harness the potential of AI to supercharge your marketing strategy:

1. Understand your target audience

One of the primary advantages of AI in marketing is its ability to analyse customer data comprehensively. With AI-driven tools, you can gain valuable insights into consumer behaviour, preferences, and buying patterns. This information is instrumental in creating highly targeted marketing campaigns that resonate with your audience.

2. Personalise content

AI technology enables you to personalise your content like never before. By analysing user data, AI can tailor marketing messages and product recommendations to individual customers. This personal touch not only enhances the customer experience but also boosts conversion rates.

3. Content generation

Creating engaging content is a fundamental aspect of any marketing strategy. AI can assist marketing teams by generating content ideas, optimising headlines, and even drafting articles. This streamlines the content creation process, allowing marketers to focus on strategy and creativity.

4. Real-time decision-making

In the fast-paced world of digital marketing, timing is crucial. AI can analyse data in real-time, helping you make informed decisions on when and where to run your marketing campaigns. This ensures that your efforts always align with the latest trends and consumer behaviour.

Now that we’ve explored the incredible potential of AI in marketing, let’s dive into the tools of AI for marketing strategy.

Seven best AI tools that help you to create a marketing strategy

Adzooma

Adzooma stands as a formidable AI marketing ally, offering an array of invaluable benefits for optimising your AI marketing strategy. With its AI-powered recommendations, it seamlessly identifies avenues for enhancing campaign performance. The platform’s automation capabilities extend to managing bid adjustments, fine-tuning keyword targeting, and conducting ad copy tests, significantly streamlining your campaign management tasks. By harnessing Adzooma, not only do you achieve time efficiency, but you also elevate the effectiveness of your AI marketing endeavours, yielding superior results.

Jasper

Jasper AI, formerly recognized as Conversion.ai, represents an advanced AI marketing solution tailored for crafting top-notch content across various channels, including social media, email, landing pages, and articles. It harnesses the capabilities of the GPT-3 model developed by OpenAI to transform text into engaging copy. Marketers can effortlessly generate compelling content by supplying input such as brand or product names. With this potent AI marketing tool, businesses spanning diverse sectors gain the capacity to craft more convincing, alluring content for their blog posts, landing pages, social media, advertisements, marketing emails, and beyond.

HubSpot

HubSpot’s AI tools empower marketers to unlock new levels of creativity and precision in their campaigns, ultimately driving enhanced engagement and results. Transform your marketing approach with HubSpot’s cutting-edge AI capabilities. Marketers now have access to powerful tools that facilitate content creation, campaign personalization, and data analysis, enabling the development of precise and influential marketing strategies. Additionally, it assists in crafting social media posts and generating images based on user prompts, ensuring that your marketing efforts are streamlined, efficient, and highly impactful. 

Murf AI

Murf stands as an AI voice synthesiser, ranking among the foremost AI marketing solutions. It empowers marketers to generate lifelike speech through natural language processing, eliminating the necessity for specialised hardware. This AI marketing solution streamlines marketers’ processes, facilitating the swift creation of audio and video content for various applications, such as social media, brand advertising, and marketing initiatives, all within a matter of minutes.

Adobe Sensei

Adobe’s commitment to innovation ensures that brands can leverage AI-driven marketing solutions to elevate their customer experiences, paving the way for enhanced engagement and loyalty. As a pioneering force in artificial intelligence, we recognise that generative AI holds the power to revolutionise all facets of marketing, spanning the realms of strategy, implementation, and analysis. With the introduction of Adobe Sensei GenAI, their latest AI technology, customer experience teams can harness the innate capabilities of generative AI. This empowers them to amplify their expertise and deliver customer journeys that are not only more precise but also deeply personalised. 

ClickUp

The introduction of ClickUp AI marks a transformative moment for marketing and sales units, offering enhanced efficiency, seamless collaboration, and expedited workflows. This innovative feature within ClickUp introduces AI capabilities that are poised to revolutionise the way teams operate. From streamlining processes and fostering creativity to facilitating project management and igniting innovative thinking, ClickUp AI is the catalyst for optimising productivity and content quality, all while ensuring consistency and scalability.

SurferSEO

SurferSEO is an AI-powered SEO tool that helps you optimise your content for search engines. It analyses the top-ranking pages for your target keywords and provides you with insights into their content structure, word count, and other factors. You can then use this information to create content that is more likely to rank well.

Final thoughts

As AI technology continues to evolve, its role in marketing will only become more prominent. By harnessing the power of AI-driven tools and technology, you can create a dynamic and data-driven marketing strategy that not only reaches your target audience but also engages them on a personalised level. Embrace the future of marketing with AI and elevate your brand to new heights.

Looking to revamp your intelligent automation strategy? Learn more about the Intelligent Automation Event & Conference, to discover the latest insights surrounding unbiased algorithyms, future trends, RPA, Cognitive Automation and more!

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In recent years, we’ve seen a number of incredible AI applications in healthcare, manufacturing, finance, and beyond. So, why is it that up to 92% of AI projects still fail to yield business results? 

AI has significantly evolved over the last several decades, making it more challenging than ever for businesses to clearly understand and design AI successfully. Continue reading to learn more about top AI challenges shared by companies today—and how to solve them. 

Four solutions to top AI challenges 

Despite the complexity of AI, there are a number of ways companies can position themselves for success with machine learning models. Here are a few. 

1. Cultivate data and AI literacy

In the 2000s, companies were most focused on digital literacy (think: word processing and spreadsheets). In the 2010s, industries shifted their focus to data literacy—can we acquire the data and can we build models with that data? Today, AI literacy is top-of-mind.

According to Harvard Business Review, fewer than 25% of the workforce would consider themselves data literate. Defined as the ability to assess, understand, and utilize data, data literacy is a skill that directly enables individuals to work with tools like machine learning models.

Cultivating data and AI literacy within your organization, through educational workshops or insightful articles, will significantly improve AI adoption rates and employee trust in AI-based initiatives.  

2. Clearly define your business value

With AI, the path to defining and deriving business value is often unclear. Oftentimes, companies will have the right data, design an adequate model, and identify the level of accuracy the model can achieve, but the team does not consider the actual human or group of humans that will be making decisions based on the model. This is one area where we see a high failure rate.

When developing your AI strategy, be sure to account for how the AI’s recommendations will be interpreted and used by your team. Will your team need a dashboard explaining the results? How else can you ensure your team trusts and accurately uses the information? 

3. Understand the journey to AI is iterative

AI strategy and design can often be broken down into two processes:

1. Design. Where you are working to build a statistically valid model that can solve your problem. This process often requires experimentation with data and redefined requirements based on revealed constraints. 
2. Develop. Where you are developing the solution and translating it into the hands of the end user(s). 

One of the most important phases of AI design is building resilience. You will likely encounter instances where data in the real world doesn’t match the training data used to build the model. Or, you may realize decision makers or other end users don’t trust the model enough to use it. Working through these challenges to design a resilient, trustworthy model will result in higher success rates compared to companies that ignore the complexity of the AI process. 

4. Mitigate unintended bias and risk

Risk mitigation and bias prevention must be at the forefront of your AI strategy in order to truly generate business value with AI. Involve diverse humans in your feedback loop, test your AI against unexpected situations, and understand the costs of undetected bias in your solution. 

Reducing the chance of negative bias in your solution protects end users from harm, and cultivates a deeper level of trust between your organization, your solution, and stakeholders. 

Improve your AI literacy with Trusted AI insights  

Improving your AI literacy—educating yourself and your team—is key to successfully strategizing and designing trustworthy AI. To stay up-to-date on AI news and gather more insights from data scientists, subscribe to Pandata’s monthly email digest: The Voices of Trusted AI.

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Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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Last year, the European Commission drafted AI laws. While the US and China are set to dominate AI development with their vast resources, economic might, and light-touch regulation, European rivals – including the UK and EU members – believe they can lead in ethical standards.

In the draft of the EU regulations, companies that are found guilty of AI misuse face a fine of €30 million or six percent of their global turnover (whichever is greater). The risk of such fines has been criticised as driving investments away from Europe.

The EU’s draft AI regulation classifies systems into three risk categories:

• Limited risk – includes systems like chatbots, inventory management, spam filters, and video games.
• High risk – includes systems that make vital decisions like evaluating creditworthiness, recruitment, justice administration, and biometric identification in non-public spaces.
• Unacceptable risk – includes systems that are manipulative or exploitative, create social scoring, or conduct real-time biometric authentication in public spaces for law enforcement.

Unacceptable risk systems will face a blanket ban from deployment in the EU while limited risk will require minimal oversight.

Organisations deploying high-risk AI systems would be required to have things like:

• Human oversight.
• A risk-management system.
• Record keeping and logging.
• Transparency to users.
• Data governance and management.
• Conformity assessment.
• Government registration.

However, the cumbersome nature of the EU – requiring agreement from all member states, each with their own priorities – means that new regulations are often subject to more debate and delay than national lawmaking.

Reuters reports that two key lawmakers on Wednesday said the EU’s AI regulations will likely take over a year more to agree. The delay is primarily due to debates over whether facial recognition should be banned and who should enforce the rules.

“Facial recognition is going to be the biggest ideological discussion between the right and left,” said one lawmaker, Dragos Tudorache, in a Reuters interview.

“I don’t believe in an outright ban. For me, the solution is to put the right rules in place.”

With leading academic institutions and more than 1,300 AI companies employing over 30,000 people, the UK is the biggest destination for AI investment in Europe and the third in the world. Between January and June 2021, global investors poured £13.5 billion into more than 1,400 “deep tech” UK private technology firms—more than Germany, France, and Israel combined.

In September 2021, the UK published its 10-year National Artificial Intelligence Strategy in a bid to secure its European AI leadership. Governance plays a large role in the strategy.

“The UK already punches above its weight internationally and we are ranked third in the world behind the USA and China in the list of top countries for AI,” commented DCMS Minister Chris Philp.

“We’re laying the foundations for the next ten years’ growth with a strategy to help us seize the potential of artificial intelligence and play a leading role in shaping the way the world governs it.”

As part of its strategy, the UK is creating an ‘AI Standards Hub’ to coordinate the country’s engagement in establishing global rules and is working with The Alan Turing Institute to update guidance on AI ethics and safety.

“We are proud of creating a dynamic, collaborative community of diverse researchers and are growing world-leading capabilities in responsible, safe, ethical, and inclusive AI research and innovation,” said Professor Sir Adrian Smith, Chief Executive of The Alan Turing Institute.

Striking a balance between innovation-stifling overregulation and ethics-compromising underregulation is never a simple task. It will be interesting to observe how AI regulations in Europe will differ across the continent and beyond.

(Photo by Christian Lue on Unsplash)

Related: British intelligence agency GCHQ publishes ‘Ethics of AI’ report

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