KPMG 2024 CEO Outlook: Inaugural Africa edition African CEOs emulate business confidence and clear growth trajectory into 2025 The Business & Financial Times

Thomson Reuters report, ‘Tech, AI and the Law 2024’ provides a nuanced perspective on the integration of gen AI within the legal profession. The findings reveal an overwhelming 95% of Australian private practice legal professionals believe that while AI is no substitute for thorough legal work, it does serve as a powerful accelerator. In 2017, training a top-of-the-line model cost roughly $1,000, but by 2024 that cost had risen to around $200m, despite a rapid decline in computing costs. The driving force behind this surge in training costs is the astonishing growth in computing power required by LLMs. Dhahran, Saudi Arabia – Wa’ed Ventures, the $500 million venture capital fund wholly owned by Aramco, announces earmarking $100 million for early-stage AI investments, a bold move to support positioning the Kingdom as a global AI hub. “With 89% of African CEOs highlighting the impact of an aging workforce, it is critical that the younger talent pool is nurtured and developed to minimize the negative impact this could have on the sustainability of organizations.

These new technologies could bring a level of engagement that traditional methods struggle to match. Newsrooms that are willing to experiment with and adopt these technologies will be better positioned to engage audiences. ChatGPT While AI offers significant advancements and efficiencies across various sectors, it also comes with challenges such as regulatory uncertainties, data quality concerns and potential market overvaluation.

As the leader notes, over-reliance on AI for decisions such as hiring and performance evaluations without human involvement could leave employees feeling undervalued and disconnected, compromising the human aspect of work. The complexity and continued advancement of these solutions has come with increased concerns about privacy, security and social equity, posing potential risks to sensitive sectors such as healthcare and financial services. West Africa’s economic outlook in 2024 reflects cautious optimism among CEOs, with 60% confident in their country’s economic growth down from 73% last year. Key risks include trade regulation, operational issues, and rising cybercrime.

The rise in generative AI has also brought to light heightened concerns around cybersecurity, further boosting the demand for robust security solutions. AI is also increasingly being integrated into business processes and technologies, impacting everything from how healthcare professionals manage their patients, to how investors manage their portfolios. The AI market has become an economic driver that has the power to reshape the business landscape and, indeed, the overall economy. According to Puneet Chandok, President of Microsoft India, this high adoption rate reflects India’s readiness to integrate AI at scale.

India’s swift deployment of AI is driven by several distinct factors, including AI optimism in the workforce, strategic government initiatives and private sector investments. These elements create a high-growth AI environment that would be difficult to replicate elsewhere, suggesting India may capture substantial economic and corporate gains from the AI boom. Given the current AI race between the largest tech companies, we think it is unlikely that the largest investors in AI will hold back. Currently, this is feasible given their very profitable (cloud) businesses. Microsoft this week announced that cloud revenue in the second quarter rose 23% year-on-year.

or care for money

This multi-stakeholder event brought together elected and appointed officials from the UK and other countries along with academics and executives and scientists from tech and media companies. With a focus on innovation and adaptability, employers in Malaysia can successfully navigate these challenges and harness AI’s potential to drive progress and competitiveness. „AI effectively handles routine administrative tasks, enabling HR professionals to dedicate more time to meaningful, strategic work that adds value to both the organisation and its employees.“

A Microsoft report shows that 70% of workers are open to using AI to reduce workloads, and less-skilled workers see significant gains, completing tasks 35% faster. In manufacturing, AI shifts maintenance from predictive to prescriptive, enabling early issue detection and better equipment uptime. The increased use and accessibility of LLMs require enormous levels of computational power, which has led to an increase in demand for these resources. Data and security organizations are also important since they provide solutions to build the foundation of AI models through organized and secure data management capabilities.

That disastrous

decision has placed undue power in the hands of the very few ultra-wealthy. I

simply don’t think enough systems are interconnected yet, for even an extremely

sophisticated AI to completely take control. But I think there is a far greater

risk that AGI or even near-AGI presents. I’ll dive into my thoughts here, but

if you want to first learn more about the views of other experts, I wrote about warnings that Google AI

and Open AI architects provided in testimony before Congress last month.

Magid: Summit at Oxford focuses on Generative…

Recently, tech giants OpenAI and Meta have made major strides in voice and speech AI. Meta announced that their AI will respond in a voice that closely mimics celebrities and OpenAI rolled out a new API that allows users to speak with their models in real-time. AI-powered predictive maintenance has been a game changer, offering insights into potential issues with machinery before they escalate into larger, more costly problems. This article explores the transformative potential of gen AI in legal practice, while critically examining its limitations and the irreplaceable value of human expertise in delivering nuanced, high-quality legal services.

However, if current investment trajectories continue, the financial risks taken by these companies become ever-larger. This, in turn, poses an increasing risk to the financial health of these companies and a systemic risk for the tech industry. The government has not forced a

significant adjustment to technology company power since 1984 when it broke

Bell Labs into multiple smaller companies. In 1998, Microsoft’s monopoly power was challenged by Congress, but the

most significant desired changes, including a break-up of the company, never

came to bear.

Predictive maintenance systems, powered by AI, have become critical tools for reducing unplanned downtime. This has not only saved substantial maintenance costs but also extended the lifespan of essential equipment, underscoring AI’s significant impact on operational reliability. Generative AI can greatly enhance creativity by reducing the time and cost of producing new ideas and outputs, supporting various stages of the creative process. It’s essential to establish guidelines that recognise human contributions, ensuring that innovation still involves a human touch. AI’s impact on creative fields such as arts, design, and media is profound, as it can transform tasks and improve content production across formats such as text, images, and video. As the next wave of AI tools arrives, newsrooms and media companies have the opportunity to redefine their relationship with audiences.

These high-level capabilities would allow media companies to tailor their news delivery and interaction with audiences, making news consumption more personalized and immediate. The

incongruence of human interaction with capitalist-trained AI is already tearing

at the social fabric of society. Social media companies use AI to maximize

factors that deliver the greatest financial returns across those platforms. This has manifested as maximizing people’s time and level of engagement on

social media.

A door was opened somewhat for browser competition, and Microsoft

was limited in the ability to sign exclusivity deals with PC manufacturers. But

it didn’t ultimately change Microsoft’s market dominance or control. Society accepted this early technology

construct as an acceptable way to exchange a flexibly applied medium (money)

for any product or service. As society

continued to develop, the creation and regulation of currency became the domain

of government, as it is one of the fundamental technologies that is core to

civil and productive society. I would argue that AI is primarily being

deployed for two fundamental purposes – to

optimize and to maximize (or minimize). Further, both of these core applications of the technology are applied

near-universally towards capitalist principles.

From a short-term investment standpoint, companies that are developing AI technologies, building AI infrastructure such as semiconductor manufacturers or providing the necessary tools to build AI solutions are leading the charge. Over the past 70 years, artificial intelligence has evolved into a transformative social and economic force, especially with the recent rise of generative AI, creating a wealth of opportunities for investors through its rapid expansion and adoption. The spotlight on India comes at a time when many countries around the globe are keen to foster their own competing AI systems rather than turning to the U.S. or China. He pointed out that this technology has the potential to generate between 2.6 and 4.4 trillion dollars in global economic value, directly impacting sectors such as advanced manufacturing, health, banking, and logistics. The positive news about innovation is tempered by concerns about investment returns. Large language models (LLMs) have made exponential strides in recent years, but this progress has been accompanied by a corresponding exponential increase in training costs.

Of course, that’s also true for human created content, but reputable journalists and academics usually cite their sources, which doesn’t necessarily happen with AI systems. AI boosts efficiency in data-intensive industries such as financial services, scientific research, and ICT by enhancing data usability and decision-making. It increases productivity in customer support, with agents experiencing a 14% improvement in issue resolution speed.

Additionally, organizations need to monitor for data leakage at multiple inspection points, including user prompts, data retrieval and AI responses. However, this is not new to us and as I have said in previous years, African CEOs are resilient, innovative and can navigate these with a solutions-focused mindset. And navigate them we will – backed by sound business advice, strategic decision making, and a clear focus on key priorities that ensure growth over the next three years,” concludes Sehoole. Despite differing concerns on the impact of the aging workforce, retiring employees is a reality each year, and if unmanaged, will no doubt create an enormous talent risk for any organisation,” says Dr Candice Hartley, Head of People, KPMG in Africa. Similarly in the Southern Africa region, CEOs have expressed confidence in business growth in several areas. The CEOs are most concerned about the impact of economic decoupling between countries which may lead to pricing pressures over the next three years, followed by cyber security and emerging or disruptive technologies.

Antonio Novas, a senior partner at McKinsey & Company, said yesterday that the country lacks the talents to benefit from artificial intelligence (AI). Rehan Jalil is CEO of cybersecurity and data protection infrastructure firm SECURITI and ex-head of Symantec’s cloud security division. Protecting against these threats requires implementing LLM firewalls that understand natural language interactions, unlike traditional firewalls that focus on IP addresses or applications. These advanced firewalls help prevent prompt injections, jailbreak attempts and phishing attacks. Organizations must also monitor responses to prevent sensitive data leakage and ensure alignment with corporate policies on toxicity and prohibited topics.

At a global level, there is a higher recognition amongst CEOs of the imperative role that Environmental, Social, and Governance (ESG) plays in customer relationships and positive brand association when compared to African CEOs. The African CEOs believe their ESG strategies, misinformation, and reputational risk can adversely affect their business. These views varied across the three regions with the CEOs in East Africa agreeing the most. This annual report, the first of its kind to be launched in Africa by KPMG, draws on the perspectives of more than 130 CEOs from Southern, East, and West Africa regions. This follows on the back of the Global KPMG CEO Outlook Survey which celebrates its 10th edition and was conducted among 1,325 CEOs across 11 markets which examined how CEOs are looking to tackle this complex set of emerging and converging challenges. How

do we avoid a future AGI that decides that ultimate power is in the hands of

those with the strongest AI – not those with the most money?

In East Africa, the projections indicate a 5.1% expansion in 2024 with CEOs likely to take a more cautious approach when pursuing M&A, due to prevailing factors such as economic volatility and currency risk. Only 26% of CEOs expect growth through M&A because of the existing economic conditions. It isn’t

logical to think that a tool programmed to look for the lowest cost, most

optimal solution would choose such a difficult first task.

But if AGI recognizes itself as the universal tool,

currency becomes at best a source of friction and drag on systems and at worst

is perceived as a direct competitor to AGI. Algorithms will adjust to maximize

and optimize for ever-increasing compute performance rather than financial

profitability. It is about who has

the fastest and most effective AI, controlling those weapons. We are in a

cyberthreat and cyberprotection arms race that is about computing power, not

financial strength. We seek to keep humans in every critical decision loop, but

ultimately a near-AGI will recognize that for what it is.  Humans in the loop is a human desire, not a

logical optimization or maximization that algorithms are trained to recommend.

If you use Python for accessing API endpoints or web scraping, odds are you’re using either Python’s native http libraries or a third-party module like requests. In this video, we take a look at the httpx library — an easy, powerful, and future-proof way to make HTTP requests. It provides tools for everything from sending form data to handling multipart file uploads, and works with both synchronous and async code. Optimizing Field Development Through AI Models

Field development is a complex puzzle, and AI has stepped in to simplify the process. Leveraging optimization models, companies can enhance production and minimize costs simultaneously.

Given these eye-watering investments, it is no wonder that concerns about investment returns are also on the rise. Initially, we predicted 0.1 to 0.5 percentage points of additional productivity growth per year, which is at the lower end of the scale. As data flows to AI models, organizations risk losing established access entitlements. To mitigate this, companies must maintain entitlement context throughout the AI pipeline, ensuring large language models (LLMs) only access user-authorized data when generating responses. In other words, the response a user receives should be based solely on data to which they have access entitlement. Wa’ed’s new AI strategy marks another initiative by the fund in keeping with its commitment towards investing in high-potential AI applications and infrastructure players.

Generative AI Transforming Refinery Operations

Generative AI, a subset of artificial intelligence, is revolutionizing refinery processes. From crude oil distillation to product blending, AI algorithms have made operations more energy-efficient and cost-effective. By optimizing crude distillation, generative AI has reduced energy consumption and increased product yield.

During the past few months, Wa’ed Ventures announced its investment in the Korea AI chip company Rebellions, as well as the California-based startup AiXplain, a leading provider of essential infrastructure for accelerated AI development. “Artificial Intelligence models have the potential to transform businesses and everyday life profoundly. The state of readiness in organizations for impending cyberattacks is low which has prompted the act to work together to bridge the skills and cultural gap seen in many of these organizations. It is evident that growth is a key priority all around the world and buffering businesses from any impact to growth ambitions is where the focus should lie. This will align with a conservative but intentional strategic drive to sustainable growth. Geopolitical competition remains broadly inflationary with the ability to disrupt supply chains and trade investments because it shifts the focus of investment from efficiency to resilience.

Combining technology with public services, DPI has created broad access for over 900 million internet users, improving governance and payment systems, and providing a robust foundation for AI development. The Australian appetite for an AI-empowered legal profession is continuously growing, in parallel to their understanding that businesses cannot afford to sit on the sidelines. While a thoughtful approach to AI adoption is key, there are risks in going too slow.

To be best positioned to navigate this evolving landscape, investors must balance the benefits of AI-driven growth with a cautious and informed approach. Lastly, while the AI sector has attracted considerable investments over the past few years, underlying risks remain that many of these opportunities may turn out to be overvalued, especially in the short term. As we continue to see the AI industry evolve, a balanced and informed investment strategy will be key to navigating challenges and risks.

As a refresher, Generative AI (or GenAI) is artificial intelligence that can create “original” content, including text, images, video, audio and software code in response to a prompt or question entered by a human. It’s been around for a number of years but has come into prominence in the past couple of years thanks to major players like OpenAI, Google, Microsoft and Meta, which are putting massive resources into GenAI development. You can foun additiona information about ai customer service and artificial intelligence and NLP. I put original in quotes because, although the AI model generates the content, it is based on training data it gets online and from other sources. So, although the wording is original, the information comes from a great many other places.

SmartCompany is the leading online publication in Australia for free news, information and resources catering to Australia’s entrepreneurs, small and medium business owners and business managers. We aim to publish comments quickly in the interest of promoting robust conversation, but we’re a small team and we deploy filters to protect against legal risk. Occasionally your comment may be held up while it is being reviewed, but we’re working as fast as we can to keep the conversation rolling. Stay up to date with all of ING’s latest economic and financial analysis. Interestingly, this surge in patent activity was primarily led by relatively young and smaller companies, indicating that generative AI deployment fosters increased innovation.

Advanced GenAI systems rely on data, particularly the unstructured kind that constitutes up to 90% of an organization’s information landscape. The primary hurdles in enterprise AI deployment lie in safely harnessing this vast and diverse data, ensuring proper data controls and visibility, maintaining regulatory compliance, and efficiently managing AI operations at scale. Rehan Jalil is CEO of cybersecurity and data protection infrastructure firm SECURITI and ex-head of Symantec’s cloud security division. Get insights and exclusive content from the world of business and finance that you can trust, delivered to your inbox. “There is no doubt that CEOs across the continent have a myriad of growth and sustainability considerations as they continue to face universal challenges that have an impact across the continent.

• This proactive approach highlights India’s unique advantage in a world increasingly reliant on AI talent and technology integration.
• Technology, while streamlining processes, risks reducing personal interaction and engagement.
• I also looked at

  the story from the lens of

  a benevolent AGI, to contrast the risks with potential positive outcomes.

• During the past few months, Wa’ed Ventures announced its investment in the Korea AI chip company Rebellions, as well as the California-based startup AiXplain, a leading provider of essential infrastructure for accelerated AI development.
• The driving force behind this surge in training costs is the astonishing growth in computing power required by LLMs.
• Instead, it would be

  far, far simpler (and therefore meet the AI goals of maximizing efficiency) to

  simply delete all the bank accounts.

As mentioned earlier, these unique factors place India in a strong position to benefit from the AI boom. The adoption of AI in India is being used in almost every industry in the country, potentially contributing to a massive economic boost. This means that although automated the economic potential of generative ai processes can be put in place for routine tasks, the accountability for results must still reside with humans. “AI not only optimizes repetitive tasks, but allows companies to anticipate patterns, improve the supply chain, and make more informed decisions,” he said.

Newsrooms could use the Realtime API to integrate instant fact-checking into live coverage, a crucial tool for maintaining credibility in today’s environment. As reporters cover press conferences or live events, the API could flag inaccuracies in real-time, allowing journalists to correct the record almost immediately. This kind of real-time adaptability ensures that audiences are never behind the curve, making the news feel fresher and more immediate.

Conversely

– and I’ll paint with broad brush strokes – people largely achieve happiness

through relaxation, having a variety of options and by having more time, not by

rushing through things faster. We want

nicer things, which generally are more costly or have extra features, not the

lowest cost, “minimum viable products”. We love the inefficiency of spontaneous

time with friends or doing silly and simple things. We don’t define the

“perfect day” as one that efficiently packs the most productive tasks into the

shortest time with the least amount of waste. We thrive on variety and choice

and surprise, not on uniformity, standardization and rigid order. Governments, businesses, industry associations, and community groups should work together on open data initiatives and Public-Private Partnership (PPP) models.

”I suppose I should be pleased that even a bot can be self-critical when forced to reckon with a question about its own potential bias. In short, despite these challenges, Malaysia is well-positioned to address them with strategic planning and investment. By prioritising education and reskilling programmes, businesses can bridge the skills gap and prepare the workforce for AI integration. Maintaining open communication about AI’s role can alleviate ChatGPT App concerns and boost morale, and leveraging AI for economic growth while addressing infrastructure disparities can ensure more equitable benefits across the country. The rapid adoption of digital technologies, accelerated by the COVID-19 pandemic, has transformed workplaces but also raises concerns about potential dehumanisation, according to Zailani. Technology, while streamlining processes, risks reducing personal interaction and engagement.

As

AI is implemented into more and more of our everyday lives, there is a risk

that a near human-intelligent AI will

recognize that we have reached a point where money no longer needs to be the

universal tool. Today, whoever

has the most money tends to have the most power and control. Today,

anything you want to accomplish, assuming it is physically and scientifically

(or at times emotionally) possible, can be purchased if you have enough money. Money is such a strong and universally adaptable tool, that it is the

fundamental driver in our society.

In

my view, the Supreme Court should have ruled that money did not equate to free

speech itself, but rather just to how large your megaphone is for your speech. The

Constitution says nothing about protecting the volume of how loud you yell. AI-driven algorithms are not

protecting free speech, but rather institutionalizing censorship in the form of

controlling what information you see and what you don’t. Capitalism-trained AI

is a volume control knob and a content-filter, not a protection of speech. The

same argument can be made for internet search, for e-commerce offerings, for

recommendation engines and many other fundamentally AI-driven online tasks.