Technology
Salesforce Rolls Out Slack AI
Salesforce has launched Slack AI, a trusted and intuitive generative AI experience available natively in Slack, where work happens.
Customers can easily tap into the collective knowledge shared in Slack through guided experiences for AI-powered search, channel recaps, thread summaries, and soon, a digests feature. These capabilities will enable customers to find answers, distil knowledge, and spark ideas faster.
“For the past decade, Slack has revolutionised the way we work, bringing people, apps, and systems together in one place,” the chief executive of Slack, Denise Dresser, said.
Dresser added that, “With Slack AI, we’re excited to take this transformation to the next level. These new AI capabilities empower our customers to access the collective knowledge within Slack so they can work smarter, move faster, and spend their time on things that spark real innovation and growth.
“In the era of generative AI, Slack is the trusted, conversational platform that connects every part of a business to supercharge team productivity.”
Why it matters
Nearly half of digital workers struggle to find the information they need to efficiently do their jobs, according to Gartner. This, paired with an increasing number of tools and ways to exchange ideas, adds to workers’ cognitive load and makes it difficult to catch up quickly and feel on top of the workday. AI holds enormous potential to make internal knowledge more contextual, relevant, and easier to find and prioritise.
Innovation in action
Starting from Thursday, Slack AI’s search and summarisation capabilities can help customers easily find and consume large volumes of information quickly. These features are trustworthy, easy to use, and require no training.
Users initiate them through guided, contextual interactions, ensuring they don’t have to learn brand-new skills to enjoy the benefits. Each output is secure, cited, and personalised to the user.
With Slack AI, customers can access:
AI-powered search that delivers personalised, intelligent responses to any question: Users can ask a question conversationally and get a concise answer based on relevant Slack messages. Users can find what they need faster, whether they want to learn about a new marketing campaign, get up to speed on company policies, glean insights about past decisions from historical context, or define unfamiliar acronyms.
Channel recaps that generate key highlights from accessible channels: Users can catch up on unread messages, summarise the last seven days, or set a custom date range to summarise. Users can quickly catch up after time away from work, get up to speed on a new project, or jump in quickly to help resolve time-sensitive issues.
Thread summaries that catch users up on long conversations: Users can get the gist of a long conversation in one click, and clear sources are included in each summary, allowing users to dive deeper into a highlight. Users can instantly summarise key decisions and next steps from a thread with a lot of back and forth, get up to speed on a customer support ticket or catch up on a team stand-up to get a bird’s eye view of priorities.
Sales spotlight
Sales teams are under pressure to streamline their operations and maximize team effectiveness. With Slack AI, sales reps can;
Easily identify and bring in the right subject matter expert when a customer has a specific question or concern during a deal cycle.
Summarise an account channel and get the context they need to prepare for a customer meeting more effectively.
Generate key takeaways from a long discussion about deal progress to help keep the team on track.
Engineering spotlight
The incident management process can be time-consuming and complex. With Slack AI, engineering teams can:
Find answers in past incident channels to uncover potential solutions and apply learnings.
Get the right information they need so they can quickly get situated and jump in to help find a resolution.
Recap an incident channel and use it as a starting point to draft a root-cause analysis faster.
Slack’s trusted and secure AI experience
Trust is the number one value at Salesforce, and Slack is committed to building AI products safely, responsibly, and ethically.
Slack AI runs on Slack’s infrastructure and upholds the same security practices and compliance standards that customers expect.
Slack AI’s large language models (LLMs) are hosted directly within Slack, ensuring customer data remains in-house and exclusively for that organisation’s use.
Customer data remains siloed and will not be used to serve other clients, directly or indirectly.
Slack AI does not use customer data for LLM training purposes.
The future of native generative AI in Slack
More features that help users summarise and prioritise information are on the horizon. Soon, Slack AI will create digests summarising key highlights from channels that users want to stay informed on but may not require immediate attention, enabling them to stay up to speed on what they could otherwise miss while focusing on their top priorities.
Additionally, Slack is building a native AI integration with Einstein Copilot, a new conversational AI assistant for Salesforce CRM, that will provide answers to questions directly in Slack that are grounded in trusted customer data.
These new search and summarisation features are just the beginning of how Slack will enable people to work smarter and faster. In the future, Slack will be the command centre for work and the conversational interface for generative AI.
Slack’s AI-ready platform
In addition to these native AI capabilities, partners are bringing additional AI functionality into their Slack apps. Available today, upgraded AI-powered apps
from Slack’s partner ecosystem allow users to ask PagerDuty Copilot for help resolving incidents, automatically summarise Notion documents in link previews, and more. And coming soon, a brand new AI integration with Perplexity will allow users to subscribe to AI-powered insights and pipe them into Slack.
What they’re saying
“Slack AI is not only a huge productivity boost — it’s easy to use, right where we already work in Slack. Our team loves how quickly they can find answers, which translates to faster decision-making and a greater focus on work that drives an impact.” – Kate Earle Jensen, Head of Sales and Partnerships, Anthropic
“During the pilot program, we experienced firsthand the major productivity gains that Slack AI could drive for our business. Slack AI has helped speed up our employees’ work exponentially.” – Zach Hyman, Co-CEO, SpotOn
“At Perplexity, we’re building the next-generation answer engine, applying the most advanced LLMs to make knowledge instant and accessible. Now with Perplexity Push, we’re delivering an enterprise integration that brings AI-powered insights directly into Slack. Teams can easily stay in the know on topics they care about where conversations and collaboration already happen.” – Aravind Srinivas, CEO, Perplexity
“Slack AI helps users unlock the full potential of company knowledge in Slack, all while supporting existing security, privacy, and compliance controls.” — Irwin Lazar, President and Principal Analyst, Metrigy
Technology
Zoho Launches Nathu La Server
By Modupe Gbadeyanka
A designed-in-house server known as Nathu La has been launched by a global technology company, Zoho Corporation.
Nathu La is engineered with hardware-rooted security at every layer of the stack. Its indigenous IP-driven approach reduces dependency on external entities for security audits, firmware updates, and licensing continuity.
The solution aligns with open-source software principles and reflects Zoho’s broader commitment to building sustainable, secure, and scalable digital infrastructure. It also supports the growing global focus on digital sovereignty, local innovation ecosystems, and high-performance computing capabilities.
The platform was introduced by the company as part of a pivotal step in its journey towards building its full technology stack, from the hardware layer to software applications.
With Nathu La, Zoho has achieved equivalent performance with 12-18 per cent lower power consumption and 20-30 per cent lower total cost of ownership (TCO), thereby reducing inference costs.
The Nathu La server, comprising Intel® Xeon® 6 processors, was developed collaboratively with Intel, leveraging their enablement capabilities and technical expertise.
The design philosophy behind Nathu La is rooted in the Open Compute Project (OCP), emphasising modularity, thermal efficiency, and ease of maintenance. This enables Zoho’s data centres to significantly reduce total cost of ownership and power consumption.
Zoho plans to host its applications on the Nathu La server platform, enabling the company to optimise the full software-hardware stack for its specific workloads, reduce costs, improve performance, and strengthen data governance for its global customers. This will also help bring down inference costs for Zoho’s AI usage.
The Nathu La server motherboard and chassis platform is the result of five years of R&D across hardware, firmware, and systems management. Based on Intel® Xeon® 6 Processors, the server is designed to optimise performance for virtualisation (VM), High Performance Computing (HPC), AI inference, and storage applications. This results in improved performance of Zoho applications for end users.
The server features customised power delivery subsystems, an in-house DC-SCM (Data Centre Secure Control Module) design, and modular chassis options compatible with diverse end-user environments, offering flexibility across deployment types.
All modular components – including the DC-SCM and NIC (Network Interface Card) – were designed in-house by Zoho’s hardware engineering team and assembled through electronics manufacturing partners, enabling tighter integration and quality control across the platform. Over five patents have been filed covering advanced thermal management and cost-optimised server architecture designs.
“Zoho Corporation has invested in building its own technology stack from the ground up over the last three decades. The Nathu La server launch is in line with that goal.
“With our strategy of using contextual, right-sized models, running on our own platform, on our own servers, in our own data centres, we are compounding the benefits accrued from owning and operating our entire technology stack. This ensures that our solutions are more sustainable and accessible for businesses.
“These long-term R&D investments we are making at every layer of the stack are aimed at delivering customer value,” the Country Head for Zoho Nigeria, Mr Kehinde Ogundare, stated.
In 2020, Zoho established a small R&D team in Nagpur, a Tier 2 town in India, focused on projects such as server design and systems engineering.
Members of the Nathu La R&D team include hires from SETU – short for Students’ Engagement for Transformative Upskilling – an initiative designed to build a pipeline of industry-ready engineers, with a focus on advanced learning in Electronics System Design and Manufacturing (ESDM).
Technology
MTN Fintech Targets Credit Market With Direct Lending Plans
By Adedapo Adesanya
The financial technology arm of MTN is mulling a direct shift into lending after bringing on its parent company, MTN Group, as a major investor to help cushion against losses that have plagued the business.
According to MTN Group Fintech chief executive, Mr Serigne Dioum, the company wants to move beyond helping customers access loans through partners.
He said in markets where regulators allow it, MTN wants to lend directly and use its own balance sheet.
“We’ve expanded access to credit for more people, but we also want to move further up the lending value chain,” Mr Dioum told investors at the company’s capital markets day.
“Where appropriate, we will seek licences that allow us not only to facilitate loans but also to lend directly to customers and deploy our own balance sheet.”
This development is expected to create a shift in its current fintech model which provides financial services, including deposits, payments, transfers and digital wallets to individuals and small businesses via digital and mobile‑based platforms.
The company has applied for Payment Solution Service Provider and Payment Terminal Service Provider licences through MoMo PSB, its Nigerian fintech subsidiary. If approved, the licences would allow MTN to handle more payment processing, build merchant payment tools, deploy and manage POS terminals, and reduce its dependence on third-party processors.
Despite the opportunities present in the credit market, direct lending could give MTN a larger share of revenue, but it would also expose the company to credit risk, regulation and tougher competition with banks and digital lenders.
Mr Dioum said only about 4 per cent to 5 per cent of adults have access to formal credit across the African continent. In Nigeria, the funding problem is especially severe.
A 2025 report by the National Credit Guarantee Company said nearly 80 per cent of Nigerian MSMEs lack access to formal credit, while Stears has estimated the country’s MSME financing gap at about $236 billion.
For traders, small shop owners, transport operators and households, access to small loans can determine whether they restock inventory, pay suppliers, cover emergencies or expand a business.
In April, MTN Nigeria announced that its parent firm, based in South Africa, would acquire a 60 per cent stake in MoMo Payment Service Bank Limited (MoMo PSB) and Y’ello Digital Financial Services (YDFS) Limited.
The fintech units are currently loss-making, and this move will help MTN Nigeria to reduce financial risk and share future losses and investment burden. However, it will still keep a significant minority stake (40 per cent).
Technology
Meta Expands Business Agent to Instagram, WhatsApp, Messenger
By Aduragbemi Omiyale
The reach of the Meta Business Agent is being expanded to Instagram and other platforms of the social media giant.
Meta Business Agent is an artificial intelligence (AI) that allows business owners to attend to customers’ needs with ease.
Customers expect instant responses, but no team can be everywhere at once. This innovation handles such without hassles.
It helps businesses to answer questions specific to the business, makes product recommendations from the catalogue, books appointments, qualifies incoming leads, and closes sales.
More than one million businesses are already using a Meta Business Agent on WhatsApp and Messenger to respond to customers around the clock.
“We’re now expanding our Business Agent to businesses big and small globally, so within minutes you can have yours up and running, responding in your customer’s local language using your tone,” Meta said in a statement.
“We’re also expanding these agents to Instagram since businesses connect with their customers there, too. Businesses can activate their Business Agent here. Getting started with the Business Agent is free. In the coming months, businesses will access the agent through our paid subscription offerings, with options for businesses of every size,” it added.
Meta also stated that it is making it simpler for people to discover businesses powered by a Meta Business Agent directly on WhatsApp. It noted that starting soon, people will be able to find businesses by typing their name in the Search bar, or by sharing their phone number or contact card in chats with friends and family. This way, when more customers reach out, they get a quick, helpful response.
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