E-Business
The Future of Enterprise AI isn’t about More Data – It’s About The Right Data

Artificial intelligence promises to transform every aspect of business operations, yet a lot of companies lack clarity on how to get from pilot to full production and value realisation. In today’s digital landscape they struggle with islands of data spread across various systems, leading many workers to not trust the data used to train AI systems and experience difficulty to get what they want out of them.
According to Salesforce research, only 28% of applications are connected, and over 80% of business leaders struggle with data fragmentation and data silos.
While three-quarters of workers surveyed in the recent “Your Data, Your AI” survey from Salesforce believe accurate, complete, and secure data is critical to building trust in AI, more than half do not trust the data used to train AI systems today. And nearly 60% of AI users worldwide find it difficult to get what they want out of AI, the report found.
The future of enterprise AI isn’t about more data – it’s about the right data. When AI is grounded in a company’s own data, it delivers more useful results and ultimately drives greater trust and adoption.
Only by consolidating their data will companies be able to fully understand the complete customer journey. A trusted data foundation and integrating AI into workflows across the enterprise are key ingredients needed for AI success.
Deploying these together, companies can unlock enterprise deployments at scale and drive measurable outcomes from AI automation, personalisation, and performance optimisation, including higher sales productivity, faster customer service resolutions, higher-conversion marketing campaigns.
Building a trusted data foundation
For AI to live up to the hype, large language models (LLMs) must be grounded in trusted enterprise data. However, with data trapped in disconnected silos, wholesale digital transformation and value realisation remains elusive. Prospects are worse when the data being used to ground AI models is incomplete, incorrect, or irrelevant — leading to inconsistent, incorrect results.
Unlocking the power of trapped data enables better analysis, decision-making, and AI automation, grounding customer and business data and metadata — a common language that integrates all applications — in ways that deliver trusted, outcome-oriented results without expensive model training.
Take, for example, real-time data that a prospective customer has just visited a company’s website. Previously, sales reps would have had no way of knowing this without manually pulling data into a custom report. Real-time data brings actionable insights, allowing for immediate customer engagement, resulting in higher conversion rates, revenue growth, and customer satisfaction.
Trust is a key component of successful enterprise AI deployments. By unifying and cleansing their data, companies can ensure that AI models operate on the most accurate information.
At Salesforce, we have engineered trust into every Salesforce application through our Einstein Trust Layer, a core part of the Einstein 1 Platform. The Einstein Trust Layer includes data masking to ensure data privacy protection, a zero-retention architecture to ensure data is never learned by AI models or stored outside Salesforce, an LLM audit trail, and keeps humans at the helm of every AI interaction. We have also built-in a feedback loop that continuously improves model accuracy and relevance, and this feedback data is automatically logged in Data Cloud.
Integrating AI into the flow of work
The need to deliver AI in the flow of where companies’ sales, service, marketing, commerce, developer, and other employees work explains why they’re leaning into conversational assistants, for their employees to interact with any data or workflow across their enterprise.
With specific customer data, employees can generate useful responses which are automatically grounded in all of their organisation’s trusted data and metadata. From generating customer campaigns, to answering service questions, everything is personalised, based on consolidated data – all securely within the confines of their company’s data and business processes.
The powerful combination of data and CRM makes these personalised customer experiences possible. For today’s consumer, milliseconds matter. The cost of not keeping up with them could be lost sales opportunities, poor social media reviews, or a disconnect in healthcare delivery.
While generative AI is still in its early stages for most companies, the potential for true enterprise transformation is immense. Those that can put in a foundation of data and trust, and offer AI in the flow of where their employees work, will be able to shift from pilot to production and realise tremendous value, employee satisfaction, customer loyalty, and business growth.
E-Business
Google Blocks 5.1Bn Harmful Ads in 2024, Suspends 39m Accounts

Google’s 2024 Ads Safety Report revealed how artificial intelligence is now a frontline defense against harmful online content, blocking 5.1 billion ads, restricting 9.1 billion more, and suspending over 39 million advertiser accounts, most before a single ad was shown.
The crackdown comes as scams become more sophisticated, with many leveraging AI-generated content or impersonating public figures.
Google’s advanced AI models, powered by Gemini, helped detect fraud faster than ever, spotting signs like stolen payment info, fake businesses, or coordinated scam networks.
In Africa, including Nigeria, the impact is especially important. Impersonation scams and misleading political ads remain a major concern.
In response, Google updated its Misrepresentation policy, deployed a team of 100+ global experts, and took down over 700,000 scam-related advertiser accounts, leading to a 90 percent drop in reported impersonation scams.
With nearly half the world voting in 2024, Google also removed over 10 million election-related ads for failing to meet transparency rules requiring verified identities and clear sponsorship disclosures.
In his reaction, Alex Rodriguez, general manager for Ads Safety at Google, said these numbers show what AI can do when it’s focused on safety.
“We rolled out more than 50 AI model upgrades in 2024, helping us act faster and smarter—stopping threats before users even saw them,” Rodriguez added.
While AI handles large-scale enforcement, human reviewers now focus on complex cases.
Google continues working with global regulators, industry partners, and organizations like the Global Anti-Scam Alliance to keep ahead of evolving threats.
E-Business
DG NITDA Tasks Africa to Lead the AI Revolution Through Strategic Leadership, Inclusive Innovation

The Director General of the National Information Technology Development Agency (NITDA), Kashifu Inuwa CCIE, has urged industry leaders across the continent to integrate Artificial Intelligence (AI) into their business, organisational, and operational models to unlock new opportunities, redefine leadership, and drive smarter decision-making toward making Africa deeply rooted in AI-driven innovation.
Inuwa made this call when he spoke on “Harnessing AI for Strategic Leadership” during a panel session at the Main State of the GITEX Africa 2025 held in Marrakech, Morocco.
The aim of the panel session was essentially to explore how data-driven and intelligence-led strategies can transform business models, optimise resources, and unlock new opportunities through AI-powered processes across various nations.
Speaking to an international audience of policymakers, technologists, and investors, the DG positioned Africa, particularly Nigeria as a rising force in the global AI landscape, championing a people-first and strategy-led approach to AI development and governance.
The DG argued that to be effective in today’s dynamic environment, leaders must evolve into AI-driven leaders and leverage technology not just as a tool, but as a partner in decision-making.
“AI is shifting the skills we value today, as well as the processes we use to do our daily work, so to drive strategic leadership, you need to be an AI-driven leader and find a way to use AI as a tool to create co-intelligence whereby you bring people and computers to work together to deliver your strategic vision as a leader,” he noted.
While urging leaders to combine AI with the unique strengths of their teams to deliver real business value, Inuwa stated that “Strategy must always come first, and technology second.”
He outlined four principles for effectively utilising generative AI which are inviting AI to the tale, maintaining human oversight, designing models with guardrails, and adopting a mindset of continuous improvement.
Inuwa explained that AI is invited to the table by giving it a role in organisational tasks, maintaining human oversight to correct bias and misjudgment, designing guardrails to ensure privacy ethics, and inclusivity, and adopting a mindset of continuous improvement by treating today’s AI as the least capable version that can be used.
He however warned against the risks of deploying AI systems built on data that fails to represent the diverse realities of global societies. Stressing the need for digital visibility of all cultures and citizens, he cautioned that if data doesn’t see a community, the system won’t see it either.
Introducing NITDA’s approach to governance in regulating AI through the Regulatory Intelligence Framework that is anchored on the 3 pillars of Awareness, Intelligence and Dynamism.
“In our approach to regulating AI in governance, we have a framework we call Regulatory Intelligence Framework, which as a regulator we need to be aware of the environment, we need to be dynamic because things change, and we also need to be intelligent. We need to know the data and make sense out of it,” he disclosed.
“Then we have 2 approaches, the first one is a rule-based where you can come up with certain guidelines and expect people to comply with them and we have a non-rule based, which allows them to build use cases, and based on those use cases, put the guard rails and agree on the best practices, which is always the best when it comes to AI governance,” he added.
Envisioning Africa’s AI future in the next 5 years, Inuwa painted a visionary picture where the continent will integrate AI into solving real-world challenges in every economic sector thereby leapfrogging development gaps.
Inuwa firmly averred that by augmenting human capability with AI, the continent can unlock unprecedented levels of innovation, efficiency, and inclusive growth.
“We missed the first, second, and third industrial revolutions, but this fourth one, we must lead it and not just follow.” He concluded.
Other industry leaders who shared their experiences and insightful ideas at the panel session were the Special Envoy on Technology, Republic of Kenya, Philip Thigo, CEO Pesalink, Gituku Kirika, and the Head of Africa, Open AI, Emmanuel Lubanzadio.
E-Business
NIPOST in Intensive Care, Needs Reforms Need to – Kekemeke

Nigerian Postal Service (NIPOST) is in Intensive Care Unit (ICU) and needs urgent reforms to revive it, according to Isaac Kekemeke, board chairman of the service.
Kekemeke, who spoke at a workshop organised for NIPOST staff in Abuja yesterday, added that it is now time to go the whole hog to reform and make NIPOST fulfill its destiny to compare and compete favourably with multinational postal agencies.
“The approach may not be palatable at all times but we need to take the tough but necessary decisions to exit the intensive care unit. We are either out of ICU in good health or head for the morgue. NIPOST either functions effectively now as a commercialised state operator or gets privatised, so that myself, the PMG, and a good number of you risk the loss of our jobs,” the chairman said.
No doubt, he added, “Change is not always easy as many loathe change because of the uncertainty it brings but it is in my place to urge you all to embrace the change we advocate.”
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