Technology
Trusted AI Needs Human at the Helm
By Linda Saunders
AI promises to make our jobs easier, our work more productive, and our businesses more valuable. New research from Slack finds that 80% of employees using generative AI tools are experiencing a boost in productivity — and that’s just the beginning.
And, with the introduction of AI assistants — including Salesforce’s own Einstein Copilot — the potential for businesses is only growing. AI assistants can already answer questions, generate content, and dynamically automate actions. And someday, these assistants will become digital sales and service agents, anticipating our needs and operating on our behalf.
But with each new AI advancement comes new ethical concerns. It’s one thing if an AI assistant offers a bad product recommendation, but if it takes misguided actions on real-world concerns like personal finances or medical information — the stakes suddenly become much higher.
As we enter this new era of human-AI interaction, how can we harness the power of AI without opening ourselves up to dangerous risks?
Keeping a human at the helm
The AI revolution is an evolution. We’re taking quantum leaps forward every day, but we can’t always explain why AI does the things that it does — or eliminate every instance of inaccuracy, toxicity, or misinformation.
For these reasons, it’s important that we keep humans firmly in control of AI systems. But as AI becomes more and more sophisticated, it can be hard to figure out how to layer in that human touch. We’ve all heard of keeping “humans in the loop,” but with this new generation of AI, it’s sometimes just not realistic for us to engage in every AI interaction or review every AI-generated output.
That’s why, at Salesforce, we believe trusted AI needs a human at the helm. Instead of asking humans to intervene in every individual AI interaction, we’re designing more powerful, system-wide controls that put humans at the helm of AI outcomes and enable them to focus on the high-judgement items that most need their attention. In other words, humans aren’t always rowing the boat — but we’re very much steering the ship.
With a human at the helm, we can design AI systems that leverage the best of human and machine intelligence. For example, we can unlock incredible efficiencies by tasking AI to review and summarise millions of customer profiles. At the same time, we can build trust by empowering humans to lean in and use their judgement in ways that AI can’t.
Making AI a copilot, not an autopilot
There’s a reason this generation of AI products are called copilots and not autopilots. As AI becomes more powerful and autonomous — making decisions and taking actions on individuals’ behalf — keeping a human at the helm becomes even more important. By combining the capabilities of AI with the strength of human judgment, we can make AI more effective and trustworthy.
Here are three ways we’re keeping humans at the helm of Salesforce AI:
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Prompt Builder Helps Us Automate in Authentic Ways: Prompts, or the instructions we send to generative AI models, are very powerful. A single, human-generated prompt can help guide millions of trusted outputs — but only if it’s constructed thoughtfully. With our newly announced Prompt Builder, we’re helping customers craft effective prompts by seeing the likely output in near real-time to help ensure they get the AI outcome they want. We’ve also added different edit modes within Prompt Builder that allow users to tune and revise their prompts to provide more helpful, accurate, and relevant results.
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Audit Trails Help Us Spot What We’ve Missed: Our Einstein Trust Layer offers a robust audit trail that allows customers to assess AI’s track record and pinpoint where their AI assistant may have gone wrong and where AI went right. These features help identify issues across large datasets that humans might not spot; and can empower us to use our judgement to make adjustments based on the needs of our organisation. For example, Audit Trail can alert us when an AI tool’s outputs are flagged as “thumbs down” a certain number of times — a sign that the AI-generated outputs might not be meeting the business goals. By aggregating implicit feedback signals, like how often users edit an output before using it, Audit Trail can give us a bird’s eye view of our systems, allowing us to identify trends and take action.
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Data Controls Help Us Better Guard Our Data: AI is nothing without data. That’s why we’ve designed robust controls in Data Cloud — our fast-growing platform that helps bring siloed customer data together in one place — to help businesses securely action their data. Data Cloud features help organizations harness data for AI-powered insights and intelligence. In contrast, longstanding Salesforce core data controls like permission sets, access controls, and data classification metadata fields empower humans and AI models alike to protect and manage sensitive data.
Pioneering a new approach for the AI era
As the AI era continues to unfold, both humans and technology must evolve along with it. The AI revolution is not just about technological innovation — it’s also about empowering humans to sit successfully at the helm of AI, and use it in ways that are trustworthy and effective.
Our approach is evolving, and we are committed to continued research, learning, and multi-stakeholder collaboration on this topic. But with a human at the helm, we believe we can combine the best of human and machine intelligence for this new AI era — leaning into AI’s capabilities and freeing up humans to do what they do best: be creative, exercise their judgement, and connect more deeply with one another.
With AI and humans working together, we can create more productive businesses, more empowered employees, and ultimately, more trustworthy AI.
Linda Saunders is the Salesforce Director for Solution Engineering Africa
Technology
Our Goal is to Meet Soaring Demand for Connectivity—MTN
By Dipo Olowookere
The Chief Strategy and Innovation Officer for MTN Nigeria, Mr Babalola Oyeleye, has disclosed that the telecommunications company intends to expand its infrastructure to give its customers quality service.
The demand for connectivity in Nigeria is growing, and with a new forecast predicting the Internet of Things (IoT) market to reach $38.7 billion by 2030, stakeholders, especially operators, are already positioning themselves to dominate the space
Government and private sector investments in digital transformation have created an ecosystem that includes system integrators and security specialists. Industries such as utilities and agriculture are leading the charge, adopting IoT to solve localised problems like power theft and low crop yields.
Currently, 4G coverage has reached approximately 80 per cent of Nigeria’s population, with 5G services already in major cities like Lagos, Abuja, Port Harcourt, and Kano. This connectivity backbone is essential for the low-latency communication required by millions of connected devices.
“Reaching the $38.7 billion mark isn’t just about the numbers; it’s about the millions of data points helping Nigerian SMEs and large corporations make smarter decisions every day. Our goal is to ensure the connectivity is there to meet this soaring demand,” Mr Oyeleye noted.
As the ecosystem matures, the focus is shifting toward all-in-one solutions that simplify the user experience. With ongoing investments in NB-IoT (Narrowband IoT) and other low-power connectivity options, the next five years are set to see an explosion in smart city and smart home applications across the country.
Technology
Refiant AI Raises $5m to Cut AI Energy Use
By Adedapo Adesanya
South African-founded Refiant AI has raised $5 million to slash the energy footprint of artificial intelligence (AI) in a seed round led by VoLo Earth Ventures, a top climate technology fund.
The startup uses nature-inspired algorithms to radically compress AI models, slashing the hardware and energy required to run them. The new fund will be used to scale Refiant’s team – which already includes a former Google Cloud architect, a Cambridge PhD researcher, and an engineer with NASA experience – to build out a platform and to accelerate enterprise partnerships.
According to a statement shared with Business Post, the company is in active conversations with several multinational technology firms exploring how Refiant’s approach could reduce their AI compute costs while maintaining data and energy sovereignty.
“AI’s growing energy footprint is one of the most urgent and underappreciated challenges in the climate space,” said Mr Sid Gutta, the company’s co-founder. “The industry’s default answer is to build more data centres and consume more power. Ours is to make the AI itself dramatically more efficient.”
The company said it has already successfully demonstrated it can compress a 120 billion parameter AI model to run on a standard laptop, reducing energy requirements by over 80 per cent while preserving near-identical quality. It achieved this to run on a MacBook Pro with just 12GB of RAM. The same model would normally require hardware with at least 80GB of memory. The model retained 95-99 per cent of its fidelity, ran alongside a second AI model on the same machine, and the entire process took four hours with no cloud computing required.
For Refiant, its approach will help businesses reduce their carbon footprint and adopt AI to stay competitive. The energy required to process a single AI prompt on standard infrastructure could power roughly 100 equivalent prompts using Refiant’s approach.
The current breakthrough results were attained at the end of last year, and since then, the team have been gearing up to demonstrate successfully exceeding these results with further compression, longer context windows and model traceability.
“The AI industry is spending hundreds of billions scaling infrastructure when the real breakthrough is the ability to do more with radically less,” said Mr Viroshan Naicker, co-Founder and a mathematician with published research in networks and quantum systems. “Nature doesn’t build by brute force. Evolution optimises. We’ve applied that principle to AI – and the results speak for themselves.”
“AI’s biggest constraint isn’t demand – it’s energy,” added Mr Joseph Goodman, Managing Partner, VoLo Earth. “What’s been missing is a fundamentally more efficient way to compute. Refiant’s architecture replaces brute-force scaling with a far more efficient, nature-inspired approach that lowers energy use while increasing capability. That’s the kind of breakthrough needed to make AI sustainable on a global scale.”
Technology
Google, UpSkill Universe Revamp Hustle Academy to Bring Free AI Skills to Africans
By Adedapo Adesanya
Google and UpSkill Universe, Sub-Saharan Africa’s leading AI and business skills training partner, have announced a major redesign of the Google Hustle Academy programme. For the first time, the free training initiative is open to everyone, not just business owners.
The new curriculum is focused on equipping individuals and entrepreneurs with practical AI skills and comes at a time when small businesses have become the engine of Africa’s economy, creating over 80 per cent of jobs on the continent. To help them grow, the Hustle Academy was launched in 2022, providing bootcamp-style training on business strategy, digital skills, AI, and leadership. The program has since trained over 18,000 SMEs, with many reporting increased revenue and job creation.
Now, as AI reshapes the job market, the program is evolving. The 2026 edition is built for anyone in Sub-Saharan Africa, including employees, students, and job seekers, who want to use AI to advance their careers. To meet the needs of a diverse audience, the new format includes short, 60-minute webinars and more immersive, high-impact bootcamps. These sessions are laser-focused on putting AI to work immediately in areas like digital commerce, marketing, and growth strategy.
Speaking about the academy, Mr Gori Yahaya, Founder & CEO of UpSkill Universe, said, “The 2026 Hustle Academy is designed to close the AI Skills gap with hands-on training that is short, focused, and immediately useful. AI is reshaping how businesses win and how careers are built, right across this continent. We’re excited to renew our partnership, now in its fifth year with Google, combining their global AI leadership with our deep regional AI expertise. The next wave of AI leaders will come from this continent. We are making sure they are ready.”
The Hustle Academy initiative has strengthened digital competitiveness across emerging African economies by enabling SMEs to move beyond AI awareness to practical implementation, positioning them for sustained growth in an increasingly AI-driven business environment.
“We believe that the future of Africa’s digital economy lies in the hands of individuals and entrepreneurs alike. Our new strategy focuses on scaling reach by training individuals in the latest AI-centred tools and techniques,” said a Google representative.
Applications for the 2026 cohort are now open. Interested participants can apply at: https://rsvp.withgoogle.com/events/hustle-academy
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