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
Amazon CEO Says AI will Reduce Number of Workers Needed

Amazon’s management on Wednesday said that it expects that artificial intelligence software will reduce the number of office workers at the world’s largest online retailer.

Andy Jassy, chief executive, Amazon
“We will need fewer people doing some of the jobs that are being done today and more people doing other types of jobs,” Andy Jassy, chief executive, Amazon wrote in an email to employees.
He said it was difficult to predict how the overall workforce will evolve, but in the next few years, it is expected that AI efficiency gains will lead to a reduction in the number of office workers.
According to earlier reports, Amazon employed around 1.5 million people worldwide, with approximately 350,000 office employees in various roles.
The Wall Street Journal reported that the company does not anticipate further large-scale layoffs, as seen in 2022 and 2023, in the near future.
Instead, it expects that vacant positions will not be refilled.
However, layoffs are not ruled out, according to sources familiar with the matter.
“Amazon is focusing on so-called AI agents, software capable of independently performing tasks. These agents could, for example, summarise information from the web and data sources, write software, translate languages and automate many time-consuming tasks,” Mr Jassy explained.
“Agents will be teammates that we can call on at various stages of our work,” he added, urging employees to experiment with AI whenever possible.
The impact of AI on the job market has been a concern for many years.
Recently, Spotify, the leader in music streaming, announced that teams requesting additional staff would first need to prove that AI could not perform the tasks.
The creators of the language-learning app Duolingo plan to gradually replace external workers with AI.
E-Business
BPP Partners NDPC to Strengthen Data Protection

Dr Adebowale Adedokun, director-general, Bureau of Public Procurement (BPP), has reaffirmed the bureau’s commitment to data protection in Nigeria.
He disclosed this in a statement at the weekend by Zira Nagga, head of Public Relations, BPP, following a courtesy visit by a delegation from the National Data Protection Commission (NDPC).
Adedokun stressed that data protection is vital to Nigeria’s economy and development, particularly in areas such as demography, health, education, and other key sectors.
He emphasised that no country should leave its data unprotected, as it plays a crucial role in future planning and national development.
“Data governs the world. It is essential to technological progress and must be protected for a country or business to be taken seriously,” he said.
Adedokun described the visit, aimed at fostering partnership on data policy implementation and protection, as timely and aligned with national goals.
He said the BPP would collaborate closely with the NDPC to boost data development, capacity building, and enhance the procurement system.
“The BPP will support compliance as part of the ‘Nigeria First’ Policy, although it is not a core procurement eligibility requirement,” he explained.
He suggested a hybrid training model to help build strong capacity in data protection, privacy awareness, and policy understanding.
According to him, a dynamic training approach will reduce logistics costs and improve public confidence in data safety and privacy.
Dr Vincent Olatunji, CEO, and national commissioner, NDPC, praised Adedokun and the BPP for supporting data protection initiatives.
He said the partnership supports President Bola Tinubu’s vision and will strengthen data privacy across Ministries, Departments, and Agencies (MDAs).
“The collaboration will create awareness and train BPP staff to ensure a firm grasp of data protection principles and policies,” he stated.
Olatunji said the NDPC would establish a working group to finalise a Memorandum of Understanding beneficial to both institutions.
He added that President Tinubu signed the NDPC into law on 12 June 2023 to uphold citizens’ rights and protect national and business data.
Olatunji also noted that strict legal measures were in place to enforce data protection and ensure full compliance nationwide.
Both agencies agreed to form a team to sign the MoU and focus on capacity building and data management in procurement and beyond.
E-Business
FG Mulls Fibre Optic Layout to Bridge Internet Gaps

President Bola Tinubu said that his administration has initiated a project to install fibre optic cables across the country, aimed at enhancing the socio-economic development of Nigeria.
His plans were contained in a speech he delivered at a joint session of the National Assembly in commemoration of Democracy Day on Thursday, June 12.
He said the fibre optic layout is part of other projects being embarked on.
“In addition, we have embarked on an ambitious project to lay fibre optic cables across the nation, a transformative step toward bridging the digital divide and fostering greater connectivity.
“This initiative promises not only to enhance the speed and reliability of internet access but also to revolutionise how businesses operate, how students learn, and how communities stay connected,” Tinubu stated.
He maintained that by extending this critical infrastructure, his government is empowering entrepreneurs, enabling digital education, and providing the tools for our youth to compete in a globalised world.
In a most recent report on Internet connectivity, The ICIR pointed out how Nigeria has faced setbacks in its deployment of fibre optic cables and needs a transformation.
The challenges revolve around vandalism, inadequate coordination between road construction and telecom infrastructure, and varying right-of-way (RoW) charges across states.
Among industry experts, these issues impact network outages, increase repair costs, and hinder broadband expansion efforts.
It has also further threatened the digital economy, leading to slower Internet speeds, dropped calls, and unreliable connectivity among others.
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