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Splunk.conf: Splunk and Cisco showcase unified platform | Computer Weekly

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Splunk.conf: Splunk and Cisco showcase unified platform | Computer Weekly


Having spent the best part of a year and a half working to unify its products and tools with those of its new owners Cisco, Splunk is using its annual Splunk.conf event in Boston, Massachusetts, to showcase a number of future developments, beginning with the introduction of the new Cisco Data Fabric platform.

Following the closure of the multibillion dollar purchase in 2024, Splunk and Cisco moved quickly to start to integrate their technology offerings. By last September, as Computer Weekly reported at the time, the duo already had multiple tools, such as Splunk’s Observability Cloud, working well with Cisco AppDynamics, Talos Threat Intelligence and ThousandEyes, and were eyeing closer integration in other areas.

Speaking to reporters in advance of the show’s opening keynote on Monday 8 September, Splunk senior vice president and general manager for EMEA, Petra Jenner, reflected on a busy year and said there were a lot of positive aspects to the deal.

“While we still have our own identity we are working more closely together to achieve better customer experiences,” she said. “One of the key priorities for us is to ensure that customers are really supportive. They see that we are collaborating from a technical point of view.”

Jenner said that prior to Splunk’s acquisition by Cisco, while it had had a strong and growing presence in markets such as the UK, France and Germany, there had been a recognition that it needed to invest in growth.

Cisco’s money has been a catalyst for this investment, not only in the UK but also helping open up more business in countries such as Saudi Arabia and the United Arab Emirates (UAE), said Jenner.

“The impact the acquisition had for the Splunk EMEA team has been extremely good. We have joint customer engagements and there are core initiatives going on so that customers can really leverage the joint Splunk and Cisco, not only the product but also the overall convergence,” said Jenner.

“It also suits very well the technology trends [that are] happening,” she added. “In regard to AI the platform approach is getting more important.”

Jenner also reaffirmed Splunk’s commitment to its IT channel partners both in the security and observability fields, saying it has doubled the numbers on its books. She added that drawing on the strength of Cisco partners – with all the myriad possible networking certifications available – that may not have previously considered Splunk, may help make the platform concept an easier sell to customers looking to do more.

Data Fabric turns machine data into actionable intel

Splunk.conf kicked off on Monday evening with the launch of Cisco Data Fabric, which promises to “transform machine data into AI-ready actionable intelligence”.

On the basis that AI has led to a surge in machine data, but that said data is still largely siloed, fragmented, and hardly ever used, Splunk said Cisco Data Fabric to enable customers to make better decisions, reduce their operational risk, and innovate around AI, for example by helping train custom models, powering agentic workflows, or correlating various streams of machine and business data.

Among some of Data Fabric’s features are the Time Series Foundation Model, which will power pattern analysis and temporal reasoning on time series data to enable anomaly detection, forecasting and root cause analysis, driving proactive operations and easing incident response.

Meanwhile, Cisco AI Canvas, also integrating with Splunk Cloud Platform, will provide an AI agent to orchestrate analysis workflows and workspaces for team collaboration. Splunk described this as a “virtual war room experience” that will let teams glean more in-depth insight, work together in real-time, and make decisions better.

These capabilities will be coming on stream over the next few months, with a few slated for 2026.

Kamal Hathi, Splunk senior vice president and general manager of Splunk, said machine data was now the heartbeat of digital organisations and characterised Splunk as a “heart rate monitor”.

“Our goal is to give customers the fastest, most secure path from data to action,” said Hathi.

“By embedding AI across the platform and embracing open standards, we’re not just helping organisations analyze information faster – we’re enabling them to anticipate change, scale innovation without unnecessary complexity, and deliver digital services that are more resilient, adaptive, and responsive to the needs of their users.”

IDC senior research director of cloud data management, Archana Venkatraman, said Data Fabric addressed a critical pain point – the need to quickly and safely unify vast streams of machine data in the service of resilience.

“By enabling a federated approach that eliminates data movement, it provides a pragmatic solution for organisations operationalising AI at scale,” she said.

“Its focus on real-time search, coupled with a repository for AI-ready data, provides tangible value by reducing complexity and time to insights. This unified architecture is a strong step toward helping customers build more resilient and trustworthy AI systems.”

Searching for Snowflakes

Also on the docket is the launch of Splunk Federated Search for Snowflake, a new platform integration empowering users to connect, query and combine operational and business data across Splunk and Snowflake environments.

Some of its key capabilities include unlimited onboarding of Snowflake data in Splunk; federated queries whereby users can write SPL-like queries to search Snowflake data direct from Splunk; next-gen federation capabilities to combine datasets for more impactful context and insight; and more efficient querying, letting users leverage Snowflake analytics for partial queries before performing final data joins in Splunk.

These capabilities, and others, are slated for a July 2026 release.



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These Sub-$300 Hearing Aids From Lizn Have a Painful Fit

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These Sub-0 Hearing Aids From Lizn Have a Painful Fit


Don’t call them hearing aids. They’re hearpieces, intended as a blurring of the lines between hearing aid and earbuds—or “earpieces” in the parlance of Lizn, a Danish operation.

The company was founded in 2015, and it haltingly developed its launch product through the 2010s, only to scrap it in 2020 when, according to Lizn’s history page, the hearing aid/earbud combo idea didn’t work out. But the company is seemingly nothing if not persistent, and four years later, a new Lizn was born. The revamped Hearpieces finally made it to US shores in the last couple of weeks.

Half Domes

Photograph: Chris Null

Lizn Hearpieces are the company’s only product, and their inspiration from the pro audio world is instantly palpable. Out of the box, these look nothing like any other hearing aids on the market, with a bulbous design that, while self-contained within the ear, is far from unobtrusive—particularly if you opt for the graphite or ruby red color scheme. (I received the relatively innocuous sand-hued devices.)

At 4.58 grams per bud, they’re as heavy as they look; within the in-the-ear space, few other models are more weighty, including the Kingwell Melodia and Apple AirPods Pro 3. The units come with four sets of ear tips in different sizes; the default mediums worked well for me.

The bigger issue isn’t how the tip of the device fits into your ear, though; it’s how the rest of the unit does. Lizn Hearpieces need to be delicately twisted into the ear canal so that one edge of the unit fits snugly behind the tragus, filling the concha. My ears may be tighter than others, but I found this no easy feat, as the device is so large that I really had to work at it to wedge it into place. As you might have guessed, over time, this became rather painful, especially because the unit has no hardware controls. All functions are performed by various combinations of taps on the outside of either of the Hearpieces, and the more I smacked the side of my head, the more uncomfortable things got.



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Two Thinking Machines Lab Cofounders Are Leaving to Rejoin OpenAI

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Two Thinking Machines Lab Cofounders Are Leaving to Rejoin OpenAI


Thinking Machines cofounders Barret Zoph and Luke Metz are leaving the fledgling AI lab and rejoining OpenAI, the ChatGPT-maker announced on Thursday. OpenAI’s CEO of applications, Fidji Simo, shared the news in a memo to staff Thursday afternoon.

The news was first reported on X by technology reporter Kylie Robison, who wrote that Zoph was fired for “unethical conduct.”

A source close to Thinking Machines said that Zoph had shared confidential company information with competitors. WIRED was unable to verify this information with Zoph, who did not immediately respond to WIRED’s request for comment.

Zoph told Thinking Machines CEO Mira Murati on Monday he was considering leaving, then was fired today, according to the memo from Simo. She goes on to write that OpenAI doesn’t share the same concerns about Zoph as Murati.

The personnel shake-up is a major win for OpenAI, which recently lost its VP of research, Jerry Tworek.

Another Thinking Machines Lab staffer, Sam Schoenholz, is also rejoining OpenAI, the source said.

Zoph and Metz left OpenAI in late 2024 to start Thinking Machines with Murati, who had been the ChatGPT-maker’s chief technology officer.

This is a developing story. Please check back for updates.



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Tech Workers Are Condemning ICE Even as Their CEOs Stay Quiet

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Tech Workers Are Condemning ICE Even as Their CEOs Stay Quiet


Since Donald Trump returned to the White House last January, the biggest names in tech have mostly fallen in line with the new regime, attending dinners with officials, heaping praise upon the administration, presenting the president with lavish gifts, and pleading for Trump’s permission to sell their products to China. It’s been mostly business as usual for Silicon Valley over the past year, even as the administration ignored a wide range of constitutional norms and attempted to slap arbitrary fees on everything from chip exports to worker visas for high-skilled immigrants employed by tech firms.

But after an ICE agent shot and killed an unarmed US citizen, Renee Nicole Good, in broad daylight in Minneapolis last week, a number of tech leaders have begun publicly speaking out about the Trump administration’s tactics. This includes prominent researchers at Google and Anthropic, who have denounced the killing as calloused and immoral. The most wealthy and powerful tech CEOs are still staying silent as ICE floods America’s streets, but now some researchers and engineers working for them have chosen to break rank.

More than 150 tech workers have so far signed a petition asking for their company CEOs to call the White House, demand that ICE leave US cities, and speak out publicly against the agency’s recent violence. Anne Diemer, a human resources consultant and former Stripe employee who organized the petition, says that workers at Meta, Google, Amazon, OpenAI, TikTok, Spotify, Salesforce, Linkedin, and Rippling are among those who have signed. The group plans to make the list public once they reach 200 signatories.

“I think so many tech folks have felt like they can’t speak up,” Diemer told WIRED. “I want tech leaders to call the country’s leaders and condemn ICE’s actions, but even if this helps people find their people and take a small part in fighting fascism, then that’s cool, too.”

Nikhil Thorat, an engineer at Anthropic, said in a lengthy post on X that Good’s killing had “stirred something” in him. “A mother was gunned down in the street by ICE, and the government doesn’t even have the decency to perform a scripted condolence,” he wrote. Thorat added that the moral foundation of modern society is “infected, and is festering,” and the country is living through a “cosplay” of Nazi Germany, a time when people also stayed silent out of fear.

Jonathan Frankle, chief AI scientist at Databricks, added a “+1” to Thorat’s post. Shrisha Radhakrishna, chief technology and chief product officer of real estate platform Opendoor, replied that what happened to Good is “not normal. It’s immoral. The speed at which the administration is moving to dehumanize a mother is terrifying.” Other users who identified themselves as employees at OpenAI and Anthropic also responded in support of Thorat.

Shortly after Good was shot, Jeff Dean, an early Google employee and University of Minnesota graduate who is now the chief scientist at Google DeepMind and Google Research, began re-sharing posts with his 400,000 X followers criticizing the Trump administration’s immigration tactics, including one outlining circumstances in which deadly force isn’t justified for police officers interacting with moving vehicles.

He then weighed in himself. “This is completely not okay, and we can’t become numb to repeated instances of illegal and unconstitutional action by government agencies,” Dean wrote in an X post on January 10. “The recent days have been horrific.” He linked to a video of a teenager—identified as a US citizen—being violently arrested at a Target in Richfield, Minnesota.

In response to US Vice President JD Vance’s assertion on X that Good was trying to run over the ICE agent with her vehicle, Aaron Levie, the CEO of the cloud storage company Box, replied, “Why is he shooting after he’s fully out of harm’s way (2nd and 3rd shot)? Why doesn’t he just move away from the vehicle instead of standing in front of it?” He added a screenshot of a Justice Department webpage outlining best practices for law enforcement officers interacting with suspects in moving vehicles.





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