Slack CEO Is Ready to Ride AI Wave

 Lidiane Jones, CEO of Slack Technologies, speaks during a keynote at the 2023 Dreamforce conference in San Francisco, California, on September 14, 2023. (AFP)
Lidiane Jones, CEO of Slack Technologies, speaks during a keynote at the 2023 Dreamforce conference in San Francisco, California, on September 14, 2023. (AFP)
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Slack CEO Is Ready to Ride AI Wave

 Lidiane Jones, CEO of Slack Technologies, speaks during a keynote at the 2023 Dreamforce conference in San Francisco, California, on September 14, 2023. (AFP)
Lidiane Jones, CEO of Slack Technologies, speaks during a keynote at the 2023 Dreamforce conference in San Francisco, California, on September 14, 2023. (AFP)

Artificial Intelligence is transforming Slack, the widely used workplace messaging platform, its CEO told AFP just nine months after taking on one of the most high profile jobs in Silicon Valley.

Lidiane Jones was handed the reins to Slack after the departure of its co-founder and CEO Stewart Butterfield who exited two years after his company's acquisition by Salesforce, the San Francisco-based enterprise software giant.

Life at Slack after the blockbuster $27.7 billion transaction was not always smooth sailing and Jones, a former Microsoft executive who shot up the ranks in just a few years at Salesforce, was made chief executive to bring stability.

Jones took the job in January, only a few weeks after the launch of ChatGPT made the world aware of the superpowers of AI, and Slack has moved quickly to not fall behind, especially against its archrival Microsoft.

"It's amazing what has happened to the world," Jones said of this AI moment that has captured the imagination of Silicon Valley and the world.

"We've launched more features in the last nine months than in the several years before."

Brazilian-born and living in the Boston area, Jones was in San Francisco for "Dreamforce", Salesforce's big annual event to plug its new products and AI was on everyone's mind.

Many believe that tools such as Slack are first in line to be profoundly transformed by generative AI, which can produce texts, images and sounds on request in everyday language.

Originally designed to facilitate teamwork and internal communication, Slack, along with its equivalents such as Teams from Microsoft, have rushed out new versions supercharged by AI to act as something close to an online assistant.

"When I got back from my two-week vacation this summer, I had mountains of messages from customers and colleagues to catch up on," Jones said.

"I asked 'Slack AI' to summarize everything and in two hours I was up to date, instead of spending a whole day, or even the week."

She said this recourse to new AI tools works for summarizing all types of content or for fully automating complicated administrative tasks, like approving expenses or connecting users to in-house expertise.

Data is strength

Unlike Microsoft, users can also speak to generative AI chatbots directly within Slack from several providers, such as Claude from start-up Anthropic, and soon ChatGPT, from OpenAI.

This availability of a wide range of third-party apps and tools "is our strength", said Jones.

"We're quite different from Teams...We're first and foremost a very open platform."

The comparison to Teams is a sensitive one. In 2020, when still a startup, Slack filed a complaint at the European Union against Microsoft for bundling Teams in its hugely popular Office Suite.

With some 300 million monthly users, Microsoft's conversation and videoconferencing app surpasses Slack with its 12 million daily active users, according to data from 2019, the last time they were made public.

Microsoft acquiesced to many of Slack's demands in Europe, but the investigation by the EU continues and the Windows giant could yet face more fallout from European regulators.

But thanks to its major investments in OpenAI, Microsoft won a head start in generative AI.

But Jones insisted that Slack is equally suited to excel in AI thanks to the quality of its data, the key ingredient in the technology's magic formula.

"We have all of a company's knowledge on the platform... staff are collaborating across different departments, all of that unstructured data is there," she said.

"That makes our AI capabilities so powerful, because it has so much context," she added.

Won't 'reinvent the wheel'

For the time being, Slack has no plans to develop its own language model, the systems at the heart of generative AI that have made OpenAI a household name.

"We don't feel we need to reinvent the wheel," Jones joked, while reserving the possibility of one day designing a more specialized model.

On an even more distant horizon, Slack may one day develop highly personalized AI agents, sort of digital secretaries that know users down to their most personal detail.

"It is definitely a plausible future. And, look, I have a family, I work, it's very busy... Isn't it amazing to think that a system can track all of it in one place?"

"But it's gonna take time" to make people comfortable to do that, she said.

"I think there's a possibility and desire, but the trust boundary is going take a while for us to get there."



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.