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
By Adedapo Adesanya
Lagos State’s representative, Team Nevo, won the 3 Million Technical Talent (3MTT) South-West Regional Hackathon, on Tuesday, December 9, 2025.
The host state took the victory defeating pitches from other south west states, including Oyo, Ogun, Osun, Ekiti, and Ondo States.
This regional hackathon was a major moment for the 3MTT Programme, bringing together young innovators from across the South-West to showcase practical solutions in AI, software development, cybersecurity, data analysis, and other key areas of Nigeria’s digital future.
Launched by the Federal Ministry of Communications, Innovation, and Digital Economy, the hackathon brought together talented young innovators from across the Southwest region to showcase their digital solutions in areas such as Artificial Intelligence (AI)/Machine Learning, software development, data analysis, and cybersecurity, among others.
“This event not only highlights the potential of youth in South West but also advances the digital economy, fosters innovation, and creates job opportunities for our young people,” said Mr Oluwaseyi Ayodele, the Lagos State Community Manager.
Winning the hackaton was Team Nevo, made up of Miss Lydia Solomon and Mr Teslim Sadiq, whose inclusive AI learning tool which tailors academic learning experiences to skill sets of students got the top nod, with N500,000 in prize money.
Team Oyo represented by Microbiz, an AI business tool solution, came in second place winning N300,000 while Team Ondo’s Fincoach, a tool that guides individuals and businesses in marking smarter financial decisions, came third with N200,000 in prize money.
Others include The Frontiers (Team Osun), Ecocycle (Team Ogun), and Mindbud (Team Ekiti).
Speaking to Business Post, the lead pitcher for Team Nevo, Miss Solomon, noted, “It was a very lovely experience and the opportunity and access that we got was one of a kind,” adding that, “Expect the ‘Nevolution’ as we call it, expect the transformation of the educational sector and how Nevo is going to bring inclusion and a deeper level of understanding and learning to schools all around Nigeria.”
Earlier, during his keynote speech, the chief executive officer (CEO) of Sterling Bank, Mr Abubakar Suleiman, emphasised the need for Nigeria’s budding youth population to tap into the country’s best comparative advantage, drawing parallels with commodities and resources like cocoa, soyabeans, and uranium.
“Tech is our best bet to architect a comparative advantage. The work we are doing with technologies are very vital to levelling the playing field.”
By Aduragbemi Omiyale
One of the high points of the 2025 re:Invent was the unveiling of Graviton5, the fifth generation of custom Arm-based server processors from Amazon Web Services (AWS).
Many tech enthusiasts believe that the company pushed the limits with Graviton5, its most powerful and efficient CPU, frontier agents that can work autonomously for days, an expansion of the Amazon Nova model family, Trainium3 UltraServers, and AWS AI Factories suitable for implementing AI infrastructure in customers’ existing data centres.
Graviton5—the company’s most powerful and efficient CPU
As cloud workloads grow in complexity, organizations face a persistent challenge to deliver faster performance at lower costs and meet sustainability commitments without trade-offs.
AWS’ new Graviton5-based Amazon EC2 M9g delivers up to 25% higher performance than its previous generation, with 192 cores per chip and 5x larger cache.
For the third year in a row, more than half of new CPU capacity added to AWS is powered by Graviton, with 98 per cent of the top 1,000 EC2 customers—including Adobe, Airbnb, Epic Games, Formula 1, Pinterest, SAP, and Siemens—already benefiting from Graviton’s price performance advantages.
Expansion of Nova family of models and pioneers “open training” with Nova Forge
Amazon is expanding its Nova portfolio with four new models that deliver industry-leading price-performance across reasoning, multimodal processing, conversational AI, code generation, and agentic tasks. Nova Forge pioneers “open training,” giving organizations access to pre-trained model checkpoints and the ability to blend proprietary data with Amazon Nova-curated datasets.
Nova Act achieves breakthrough 90% reliability for browser-based UI automation workflows built by early customers. Companies like Reddit are using Nova Forge to replace multiple specialized models with a single solution, while Hertz accelerated development velocity by 5x with Nova Act.
Addition of 3 frontier agents, a new class of AI agents that work as an extension of your software development team
Frontier agents represent a step-change in what agents can do. They’re autonomous, scalable, and can work for hours or days without intervention. AWS announced three frontier agents—Kiro autonomous agent, AWS Security Agent, and AWS DevOps Agent. Kiro autonomous agent acts as a virtual developer for your team, AWS Security Agent is your own security consultant, and AWS DevOps Agent is your on-call operational team.
Companies, including Commonwealth Bank of Australia, SmugMug, and Wester Governors University have used one or more of these agents to transform the software development lifecycle.
Unveiling Trainium3 UltraServers
As AI models grow in size and complexity, training cutting-edge models requires infrastructure investments that only a handful of organizations can afford.
Amazon EC2 Trn3 UltraServers, powered by AWS’s first 3nm AI chip, pack up to 144 Trainium3 chips into a single integrated system, delivering up to 4.4x more compute performance and 4x greater energy efficiency than Trainium2 UltraServers.
Customers achieve 3x higher throughput per chip while delivering 4x faster response times, reducing training times from months to weeks. Customers including Anthropic, Karakuri, Metagenomi, NetoAI, Ricoh, and Splash Music are reducing training and inference costs by up to 50 per cent with Trainium, while Decart is achieving 4x faster inference for real-time generative video at half the cost of GPUs, and Amazon Bedrock is already serving production workloads on Trainium3.
By Adedapo Adesanya
The National Information Technology Development Agency (NITDA) has issued an advisory on new vulnerabilities in ChatGPT that could expose users to data-leakage attacks.
According to the advisory, researchers discovered seven vulnerabilities affecting GPT-4o and GPT-5 models that allow attackers to manipulate ChatGPT through indirect prompt injection.
The agency explained that hidden instructions placed inside webpages, comments, or Uniform Resource Locators (URLs) can trigger unintended commands during regular browsing, summarisation, or search actions.
“By embedding hidden instructions in webpages, comments, or crafted URLs, attackers can cause ChatGPT to execute unintended commands simply through normal browsing, summarization, or search actions,” they stated.
The warning followed rising concerns about AI-powered tools interacting with unsafe web content and the growing dependence on ChatGPT for business, research, and public-sector tasks.
NITDA added that some flaws allow the bypassing of safety controls by masking malicious content behind trusted domains.
Other weaknesses take advantage of markdown rendering bugs, enabling hidden instructions to pass undetected.
It explained that in severe cases, attackers can poison ChatGPT’s memory, forcing the system to retain malicious instructions that influence future conversations
They stated that while OpenAI has fixed parts of the issue, Large-Language Models (LLMs) still struggle to reliably separate genuine user intent from malicious data.
The Agency warned that these vulnerabilities could lead to a range of cybersecurity threats, including unauthorised actions carried out by the model; unintended exposure of user information; manipulated or misleading outputs; and long-term behavioural changes caused by memory poisoning, among others.
It advised Nigerians, businesses, and government institutions to adopt several precautionary steps to stay safe. These include limiting or disabling the browsing and summarisation of untrusted websites within enterprise environments and enabling features like browsing or memory only when necessary.
It also recommended regular updates to deployed GPT-4o and GPT-5 models to ensure known vulnerabilities are patched.
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