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."



Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)
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Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)

US tech giant Amazon said it has blocked over 1,800 North Koreans from joining the company, as Pyongyang sends large numbers of IT workers overseas to earn and launder funds.

In a post on LinkedIn, Amazon's Chief Security Officer Stephen Schmidt said last week that North Korean workers had been "attempting to secure remote IT jobs with companies worldwide, particularly in the US".

He said the firm had seen nearly a one-third rise in applications by North Koreans in the past year, reported AFP.

The North Koreans typically use "laptop farms" -- a computer in the United States operated remotely from outside the country, he said.

He warned the problem wasn't specific to Amazon and "is likely happening at scale across the industry".

Tell-tale signs of North Korean workers, Schmidt said, included wrongly formatted phone numbers and dodgy academic credentials.

In July, a woman in Arizona was sentenced to more than eight years in prison for running a laptop farm helping North Korean IT workers secure remote jobs at more than 300 US companies.

The scheme generated more than $17 million in revenue for her and North Korea, officials said.

Last year, Seoul's intelligence agency warned that North Korean operatives had used LinkedIn to pose as recruiters and approach South Koreans working at defense firms to obtain information on their technologies.

"North Korea is actively training cyber personnel and infiltrating key locations worldwide," Hong Min, an analyst at the Korea Institute for National Unification, told AFP.

"Given Amazon's business nature, the motive seems largely economic, with a high likelihood that the operation was planned to steal financial assets," he added.

North Korea's cyber-warfare program dates back to at least the mid-1990s.

It has since grown into a 6,000-strong cyber unit known as Bureau 121, which operates from several countries, according to a 2020 US military report.

In November, Washington announced sanctions on eight individuals accused of being "state-sponsored hackers", whose illicit operations were conducted "to fund the regime's nuclear weapons program" by stealing and laundering money.

The US Department of the Treasury has accused North Korea-affiliated cybercriminals of stealing over $3 billion over the past three years, primarily in cryptocurrency.


KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.