Thailand’s HD is building chatbots aimed at one such industry: healthcare.
The company started as a marketplace for third-party healthcare and surgery services, and sees a strong case for developing conversational AI for the healthcare customer journey.
Even though each product has a description on HD’s marketplace HD Mall, Ho says people still prefer to ask first.
M Venture Partners, FEBE Ventures, Partech Partners, Ratio Ventures, Orvel Ventures, and TA Ventures also participated in the round.
AI for Southeast AsiaHo says HD is working on building the “Sierra AI of the Southeast Asian healthcare industry.”Over five years, Ho and his team saw that the faster HD’s representatives responded to inquiries, the higher the conversion rate.
The Indian government has finally resolved a years-long cybersecurity issue that exposed reams of sensitive data about its citizens.
At fault was the Indian government’s cloud service, dubbed S3WaaS, which is billed as a “secure and scalable” system for building and hosting Indian government websites.
With evidence of ongoing exposures of private data, Majumder asked TechCrunch for help getting the remaining data secured.
Majumder said that some citizens’ sensitive data began spilling online long after he first disclosed the misconfiguration in 2022.
The exposed data, Majumder said, potentially puts citizens at risk of identity thefts and scams.
Death, taxes, and regular, terrifying cybersecurity leaks.
Those are the facts of life, as the latest AT&T data breach is teaching us yet again.
A TechCrunch investigation into leaked customer data from the American telco giant has led to AT&T resetting certain customer account passcodes to prevent them from being at risk.
The root of the security weakness is a massive, and AT&T’s data breach included a leaked dataset concerning more than seventy million former and current AT&T account holders.
Only a fraction are still current, but the scale of the leaked dataset that TechCrunch dug into makes it plain that despite huge amounts of work and investment, there are still regular, exploitable, and dangerous for consumers.
With the aim of identifying criminal suspects, U.S. police departments are increasingly relying on a controversial surveillance practice to demand large amounts of users’ data from tech companies.
So-called “reverse” searches allow law enforcement and federal agencies to force big tech companies, like Google, to turn over information from their vast stores of user data.
Reverse searches effectively cast a digital dragnet over a tech company’s store of user data to catch the information that police are looking for.
Microsoft, Snap, Uber and Yahoo (which owns TechCrunch) have all received reverse orders for user data.
Some companies choose not to store user data and others scramble the data so it can’t be accessed by anyone other than the user.
“Building data models is best done in Python, but many of my team members only understood spreadsheets,” Kircos told TechCrunch.
“Quadratic is on a mission to build the best tool for understanding data,” Kircos said.
“Quadratic is a brand-new type of spreadsheet, not an Excel clone,” Kircos said.
There’s Sourcetable, whose headlining features include real-time document collaboration, data syncing with business apps and an editor for querying large data sets.
Neptyne, which launched in March 2023, is building a Python-powered spreadsheet targeting data scientists.
A few years ago, Darren Shimkus, ex-president of Udemy, had a conversation with Dennis Yang about skills building.
Modal provides personalized technical skills training for a company’s staff, offering on-demand coaching and a pedagogical approach that groups users into semi-structured online learning communities.
First, Shimkus says, by honing in on hot trends: data and AI.
“The rise of AI is bringing more visibility to data teams than ever before,” Shimkus said.
“It’s hard in today’s ever-changing workplace landscape to predict what your teams need, meaning most leaders don’t have a reliable way to plan for and improve their team’s skills.
Your cut out & keep guide to Big Tech talking points in a new age of antitrust With regulatory risk soaring, platforms are in lobbying overdrive.
We cut to the chase with a no-nonsense glossary of Big Tech’s top whines…As the likes of Amazon, Apple, Google, Meta, Microsoft and TikTok face unprecedented (yes, actually!)
But there’s an even greater nightmare for Big Tech: The break-up of established empires may be on the cards.
This may explain why some of the defensive claims put out in response to dialled-up regulatory attention are so familiar.
“why am I seeing this ad?”because we tracked you“why are we doing this?”to keep tracking you for 🤑“publicly available information”stuff we stole
In recent months, the big three cloud vendors — Amazon, Microsoft and Google — have relaxed their egress fees, which are a tax of sorts that the cloud companies charge customers to move their data to another vendor.
“In the original cloud world, the three major cloud vendors were really fighting to try to build what felt like walled gardens, and as long as you built on top of them, everything was great.
Cloud customers looking to switch providers will need to be retained through innovative and accessible features now that the punishment of egress fees is being phased out,” Seseri said.
David Linthicum, a longtime cloud consultant, says that while these recent announcements are a pleasant PR move, he warns folks to review their bills carefully because egress fees aren’t the only problem.
What are we paying for the networking fees, the egress fees, all the other hidden fees that come along with what people call junk fees that come from the cloud vendors?”But this may not affect startups as much as larger enterprise customers.
AT&T resets account passcodes after millions of customer records leak online US telco giant takes action after 2019 data breachPhone giant AT&T is reseting customer account passcodes after a huge cache of data containing millions of customer records was dumped online earlier this month, TechCrunch has exclusively learned.
A security researcher who analyzed the leaked data told TechCrunch that the encrypted account passcodes are easy to decipher.
TechCrunch held the publication of this story until AT&T could begin reseting customer account passcodes.
The leaked data includes AT&T customer names, home addresses, phone numbers, dates of birth and Social Security numbers.
The researcher double-checked their findings by looking up records in the leaked data against AT&T account passcodes known only to them.
This week in AI, I’d like to turn the spotlight on labeling and annotation startups — startups like Scale AI, which is reportedly in talks to raise new funds at a $13 billion valuation.
Labeling and annotation platforms might not get the attention flashy new generative AI models like OpenAI’s Sora do.
Without them, modern AI models arguably wouldn’t exist.
Labels, or tags, help the models understand and interpret data during the training process.
Some of the tasks on Scale AI take labelers multiple eight-hour workdays — no breaks — and pay as little as $10.
