Technology
Meta must face FTC trial that could separate Instagram and WhatsApp
Meta must face the Federal Trade Commission’s antitrust lawsuit that accuses the company of dominating the social media industry through its acquisitions of Instagram and WhatsApp, a DC District Court Judge ruled on Wednesday.
Meta once again asked the court to dismiss the FTC’s case in April. Boasberg has now ruled largely in favor of the FTC, though he dismissed a claim that Meta acted anticompetitively by preventing developers from accessing its API unless they agreed not to compete with its apps.
In a statement to The Verge, Meta spokesperson Christopher Sgro said the company is “confident” the trial will show its acquisitions of Instagram and WhatsApp were “good” for consumers. “More than 10 years after the FTC reviewed and cleared these deals, and despite the overwhelming evidence that our services compete with YouTube, TikTok, X, Apple’s iMessage, and many others, the Commission is wrongly continuing to assert that no deal is ever truly final, and businesses can be punished for innovating.”
Technology
Android is getting call scam detection, real-time app threat alerts
Google’s focus on Android safety and security has been pretty evident this year. From partial screen recording and private spaces to protection against juice jacking attacks, Android 15 has been quite a reassuring iteration.
Google is now injecting some more energy into that endeavor with a couple of new features that tackle the threat of scam calls and bad apps. These features are appearing first on Pixel smartphones, and will subsequently make their way to other Android phones.
First in line is Google Play Protect live threat detection, which shows real-time alerts for apps that pose a threat. “Play Protect analyzes behavioral signals related to the use of sensitive permissions and interactions with other apps and services,” says Google.
The latest upgrade allows the system to send an alert as soon as it detects that an app is engaged in unusual activities. This notice will help users take necessary action, such as revoking access or uninstalling it, before a malicious app package does more damage.
The entire risk evaluation process relies on Android’s Private Compute Core, a safe processing environment that pushes for on-device analysis. Real-time alerts, originating from activity analysis, will initially focus on apps engaged in stalking behavior, and will soon expand to other types of harmful apps.
Next, we have enhanced scam detection for calls. Once again, this is an on-device system, one that relies on AI to look for signs of suspicious behavior, such as a scammer asking for money or a code transfer.
“If a caller claims to be from your bank and asks you to urgently transfer funds due to an alleged account breach, Scam Detection will process the call to determine whether the call is likely spam,” explains Google. This feature is now available to users in the U.S. as part of a phase testing program.
Less than a month ago, Google announced enhanced scam detection for the Messages app, with the intent of preventing fraudulent and package delivery scams. As far as call scam detection goes, it’s an opt-in feature.
It will be set to “off” by default, and only when users enable it, will the AI be able to do its job. The AI in question here is the Gemini Nano model, which is running locally on Pixel 9 series phones. However, it will expand to the Pixel 6 series, as well as all the subsequent models.
Technology
OnePlus 13 and 13R colors detailed ahead of global launch
The OnePlus 13 launched last month in China with some amazing features. As we await the global launch, the device was recently spotted on multiple certification sites. Another smartphone that OnePlus will soon debut in the global market is the OnePlus 13R. Previously, rumors have hinted that it could be a rebrand of the OnePlus Ace 5. Now, a tipster has detailed the colors and variants of the OnePlus 13 and 13R ahead of the global launch.
The color options of the OnePlus 13 and 13R surfaced online ahead of the global launch
The OnePlus 13 is likely to launch with similar specs in the global market as well. OnePlus debuted three different variants of the OnePlus 13 in China with 12GB, 16GB, and 24GB RAM options. Today, in a post on X, the tipster (@MysteryLupin) hinted that won’t be the case with global models.
The tipster mentioned that the OnePlus 13 will debut globally with only two variants. You’re likely to see one variant with 16GB of RAM paired with 512GB of storage, while the other will feature 12GB of RAM and 256GB of storage. That also means OnePlus wouldn’t launch the 24GB RAM variant of the OnePlus 13 in the global market.
Apart from these details, the tipster has also detailed the colors of the OnePlus 13 ahead of the global launch. If we consider the tipster’s words, the 16GB RAM variant of the OnePlus 13 will be available in Black Eclipse, Midnight Ocean, and Arctic Dawn color options. On the other hand, the base variant with 12GB of RAM will come in a single Black Eclipse color option.
OnePlus 13R could be a premium mid-range phone
The tipster has also shared some details about the upcoming OnePlus 13R. According to the tipster’s post, OnePlus will globally launch the OnePlus 13R in only one variant variant featuring 12GB of RAM and 256GB of storage. However, that model might be available in two color options – Nebula Noir and Astral Trail.
In the past, a popular Weibo tipster hinted that the OnePlus 13R could be a mid-range device with premium features. Moreover, the tipster has also hinted that the device would pack the Snapdragon 8 Elite SoC under the hood.
Technology
Alteryx adds tools for cloud, hybrid analytics deployments
The latest Alteryx platform update provides new capabilities to support all types of data management and analytics system deployments, whether in the cloud, on premises or a hybrid of both.
Included in the vendor’s Fall 2024 Release are the general availability of Standard Mode, a channel in Designer Cloud that provides new data integration and preparation capabilities for working with data in the cloud, and LiveQuery, a feature that improves integrations with cloud data warehouses.
In addition, Alteryx’s update, unveiled on Nov. 12, includes new connectors to data storage platforms, support for analytics applications, whether on premises or in the cloud and improvements to APIs designed to improve efficiency.
Not included are the general availability of any significant new AI capabilities, which Alteryx tends to unveil separately from its general platform updates. For example, the vendor introduced its version of a generative-AI-powered assistant in May. However, one AI-related feature included in the Fall 2024 release now in public preview is Magic Reports, which uses AI to automatically generate insights.
Without any generally available AI features with the potential to change the way Alteryx customers interact with their analytics systems, the vendor’s Fall 2024 Release is made up of additive but not groundbreaking capabilities, according to Doug Henschen, an analyst at Constellation Research.
“The update is delivering mostly incremental improvements such as new connectors, app and user management upgrades and API enhancements,” he said.
While perhaps incremental, the update is providing customers with what they want, according to Jay Henderson, Alteryx’s senior vice president product management.
For example, adding new connectors and improved APIs was driven by customer feedback.
“We’re continuing to prioritize functionality that makes the analytics user’s life easier, and their work more efficient,” Henderson said. “By combining customer-driven product features with cloud advancements, Alteryx is [meeting the] needs of our customers.”
Based in Irvine, Calif., Alteryx is a longtime data management vendor whose platform is designed to automate aspects of the data preparation process.
In December 2023, following a slow evolution to the cloud that led to an executive overhaul in 2022, Alteryx agreed to be acquired by a group of private equity firms for $.4 billion.
Platform update
Standard Mode and LiveQuery are perhaps the most significant features in the latest Alteryx platform update, according to Henschen.
Designer Cloud is Alteryx’s cloud-based environment for data preparation, blending and analytics without writing code. Standard Mode is a new channel within Designer Cloud that contains added Designer Prep and Blend tools that broaden their potential applications beyond what was available and make it more efficient to work with data in the cloud.
LiveQuery, meanwhile, aims to improve Alteryx’s interoperability with cloud data warehouses such as Databricks and Snowflake by enabling users to work with data within cloud-based storage tools more directly. The intended results include reduced data egress costs, improved processing times and a lower risk of accidental data exposure.
“Taken together, the general availability of the new Standard Mode inside Designer Cloud and the LiveQuery capability for cloud data warehouses will be significant for any company that has its center of data gravity in a public cloud or multiple clouds,” Henschen said.
Like Henschen, Kevin Petrie, an analyst at BARC U.S., characterized Alteryx’s Fall 2024 Release as an incremental update. However, he noted that including the public preview of Magic Reports is noteworthy because data and AI teams now view AI-powered tools and enhancements as required features.
Magic Reports combines advanced editing capabilities with automated analysis and AI to automatically surface insights and simplify reporting.
Petrie noted that BARC research shows that enterprises are optimistic about generative AI’s potential with nearly half of them reporting that generative AI will dramatically improve their use of analytics.
Magic Reports feeds into the concept of AI simplifying and improving the analytics process.
“Alteryx is helping [data] stakeholders by providing them with AI prompts and auto-summarization of Magic Reports,” Petrie said.
In addition, Petrie pointed out the value of integrating more smoothly with cloud data warehouses including Databricks and Snowflake with LiveQuery.
“Alteryx is wise to integrate more deeply with Snowflake and Databricks,” he said. “The more they can help users transform and view data within those platforms, the better they can safeguard governance controls and reduce costs.”
Beyond Standard Mode, LiveQuery and Magic Reports, the latest Alteryx update includes the following:
- New connectors, including support for Google Cloud Storage and SingleStore, to enable customers to access their data more easily.
- Support for analytics applications in Alteryx Cloud Extension for Desktop, which allows AWS, Google Cloud and Microsoft Azure users to deploy and manage custom applications both on premises and in the cloud.
- New security controls for administrators.
- API improvements that let administrators schedule analytics workloads and retrieve jobs in a move designed to improve efficiency.
Collectively, almost three years after Alteryx overhauled its executive suite, the new features continue Alteryx’s evolution away from serving only on-premises users to meeting the needs of customers with different types of deployments, according to Petrie.
“Alteryx’s recent turnover does show they have struggled lately,” he said. “This [update] helps by making their platform more automated and intuitive, which builds on its strengths.”
However, Petrie noted that customers still express concern over the price of using Alteryx’s data management and analytics tools — Designer Cloud starts at $4,950 per user, per year — and the level of its support for Python, a popular programming language.
“I’d be interested to see them provide more visibility into processing cost with, for example, FinOps features and enhancements to support Python-oriented users,” Petrie said.
Henschen, meanwhile, noted that Alteryx’s presentation of its latest data management and analytics capabilities — highlighting its support for different deployment types — is notable.
Alteryx was founded in 1997, before the advent of the cloud. When data management and analytics shifted from exclusively on premises to cloud-based deployments, Alteryx was slow to adapt its data preparation platform for the cloud. Meanwhile, as it was evolving, other vendors such as Tableau and Qlik began offering data preparation tools in addition to their core analytics capabilities.
As a result, Alteryx lost some of its growth momentum, evidenced by modest revenue growth preceding its sale.
Now, however, as the cost of cloud-based deployments continues to grow, many organizations are reconsidering their data management and analytics strategies. Alteryx’s messaging suggests it’s trying to appeal to those enterprises.
“Alteryx had been struggling to become more cloud-centric and to deliver more value to justify new and existing licenses,” Henschen said. “Like many vendors with on-premises roots, Alteryx is … now reminding customers that it supports hybrid deployments, seeking to ride the coattails of the cloud-cost backlash we’ve seen over the last year.”
Plans
With its Fall 2024 Release now available, Alteryx’s product development plans include adding more AI-powered data management and analytics features and continuing to add cloud and hybrid capabilities, according to Henderson.
“We’re committed to making analytics easier to adopt and use, enhancing AI-assisted functionality to improve productivity and providing cloud-based features that are both powerful and secure,” he said.
In addition, Alteryx’s roadmap includes improving the user experience to enable faster and more efficient insight generation and adding new governance and security features that meet the needs of Alteryx’s largest and most complex customers, Henderson continued.
Henschen, meanwhile, stressed that Alteryx needs to continue working to discover messaging that will attract new customers and help the vendor regain the growth momentum it lost during its slow transition to the cloud, which didn’t begin until 2021.
If it doesn’t, the vendor could be a target for a merger or acquisition.
“The company needs to find a clear new direction to regain the sales growth momentum it once enjoyed,” Henschen said. “However, the competition is fierce, and budgets are tight, so we’re likely to see consolidation in the market overall.”
Eric Avidon is a senior news writer for TechTarget Editorial and a journalist with more than 25 years of experience. He covers analytics and data management.
Technology
PBS programming is coming to Prime Video
Amazon and PBS have entered a partnership that will bring content from the public media operation to Prime Video. More than 150 local PBS channels and the PBS Kids Channel will launch as a free ad-supported TV (or FAST) offering on Prime Video over the coming months. The from PBS noted that this is the first time this collection of programming will be available on a major streaming service for free.
PBS Distribution is also launching two new FAST channels that will be available exclusively on Prime Video for a limited time beginning November 26. These channels are PBS Drama and PBS Documentaries. It seems Amazon is looking to focus on a lineup of FAST channels within Prime Video for free viewing, since the company announced that it is .
Having yet another place to watch public media content is a happy development for PBS fans. The broadcaster recently launched a FAST channel with Roku called PBS Retro, specifically with shows from the 1980s and 1990s for those of us who want to dive into a little nostalgic escapism.
Technology
Snowflake Build 2024: the 4 biggest announcements
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At this year’s annual BUILD conference, data architecture giant Snowflake went all in to give its customers advanced capabilities, including some long-previewed features, to easily mobilize their datasets to build and share powerful AI applications.
The company debuted new tools for Cortex AI, its fully managed offering for developing conversational AI apps grounded in enterprise data hosted on its platform.
It also announced Snowflake Intelligence, enabling users to create ‘data agents’ that could not only answer questions related to structured (organized in tables) and unstructured data (PDFs, documents, etc.) on the platform but also take action across third-party platforms like Salesforce and Google Workspace using the generated answers.
Below is a rundown of all major announcements:
Cortex AI enhancements
Ever since its introduction last year, Cortex AI has been receiving regular updates from Snowflake to simplify how developers create and run AI apps.
At BUILD, Snowflake continued to bolster this offering with new multimodal input support for apps in development, managed connectors to integrate internal knowledge bases to the apps, and knowledge extensions to tie third-party documents, like news articles, to the services.
The company also announced Cortex Chat API combining structured and unstructured data into a single REST API call for fast-tracked RAG and agentic app development; observability for the developed AI apps (building on the TruEra acquisition); and support for SQL Joins and multi-turn conversations in Cortex Analyst to unlock richer insights from structured data.
Snowflake Intelligence
Using the enhancements to Cortex AI, including integration with internal knowledge bases, the company announced Snowflake Intelligence, a unified platform enterprises users can use to build ‘data agents’. T
The agents will use Snowflake-hosted business intelligence data as well as that connected via third-party platforms to provide users with instant answers to their business questions.
Further, once the insights are produced, the users can ask the same agent to act on them across integrated third-party tools.
This could involve a wide range of tasks across third party apps, from automatically and autonomously creating an editable form in Google Workspace using the generated insights to modifying an entry in Salesforce CRM.
Open Catalog, Document AI enhancements
Back in June, during its flagship summit, Snowflake and its industry partners unveiled Polaris as a vendor-neutral catalog implementation for indexing and organizing data conforming to the Apache Iceberg table format.
The offering has since been open-sourced and donated to the Apache Foundation. At BUILD, the company took a step ahead and debuted a fully managed, hosted version of the catalog called Snowflake Open Catalog. T
Now generally available, Polaris helps enterprises grow and evolve by integrating new engines and applying consistent governance controls.
In addition, Snowflake also announced the general availability of Document AI, the product it offers to let users extract data from unstructured documents like invoices, on AWS and Microsoft Azure.
Threat prevention and security monitoring
In light of the recent customer data breach, Snowflake has taken multiple steps to bolster the security of its users, including enforcing multi-factor authentication by default.
At BUILD, the company continued this work with the introduction of Leaked Password Protection, a capability that will automatically detect and notify customers if their Snowflake credentials have been exposed on the dark web (much like Google).
According to Christian Kleinerman, the EVP of product at Snowflake, the company may even go and disable the accounts with compromised credentials for account protection.
In addition to this, Snowflake announced a new Threat Intelligence Scanner Package for its Trust Center, the place where users see how well their accounts are configured.
The feature will provide users with a risky user view, giving them the ability to detect when a potentially risky user is active along with the best steps to deal with the situation.
Snowflake’s Trust Center is also getting extensibility, which will enable third-party partners to leverage Snowflake’s native app framework and add additional checks and assessments to the dashboard.
Snowflake BUILD runs from November 12 to November 15, 2024.
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Technology
Sales tax automation startup Kintsugi doubled its valuation this year
A 2018 Supreme Court ruling eliminated the requirement that an e-commerce retailer needed a physical location in a state in order for said state to be able to collect sales tax on purchases made by residents. While the decision was a boon for states, it created a headache for e-commerce sellers.
Kintsugi is looking to offload and automate calculating and filing sales tax for companies. The San Francisco-based company’s AI technology connects to a company’s billing and payment systems and figures out in which states they are liable to pay sales tax. It then registers users in the correct states. From there, the system can automatically calculate and remit what a company owes in sales tax to keep companies in compliance.
Kintsugi raised a $6 million Series A round earlier this year led by Link Ventures that valued it at a $40 million post valuation in April. The company has since reopened its Series A round, taken on additional $4 million in capital led by Airwallex, and has doubled its valuation to $80 million.
Pujun Bhatnagar, Kintsugi co-founder and CEO, said that he got interested in the sales tax space while working as a senior machine learning engineer at Meta in 2018. Bhatnagar told TechCrunch that both his father and grandfather worked in taxation their entire careers. Bhatnagar found himself in 2018 wondering what he wanted to do with his life. It just so happened to be around the same time as the Supreme Court ruling, which opened up a whole new market that was worth exploring, he said.
“It’s basically an amalgamation of 52 different types of little countries, which have their
own laws and jurisdictions when it comes to local governments,” Bhatnagar said. “And 48 of these jurisdictions have sales-tax-related laws.”
To really understand the problem, Bhatnagar said he started doing sales tax for e-commerce and SaaS companies by hand for a year and a half to really understand the pain points before writing any code. He made Kintsugi’s first few employees calculate sales tax by hand, too.
From there they built a platform and algorithm to modernize and automate sales tax compliance. Bhatnagar said that building the model in-house has made their results more accurate than competitors that rely on large, all-encompassing language models. He said that the company keeps humans in the loop to monitor for accuracy, too.
The company was formally founded in 2022 and launched its website in August 2023. Bhatnagar said inbound interest was immediate, and Kintsugi has been able to grow its customer base to more than 1,100 users in the past year. It has earned $1 million in revenue.
Kintsugi isn’t unique in wanting to modernize the sales tax process for companies. Competitors include Anrok, which has raised more than $50 million in venture money, and CereTax, which has raised $19 million in venture capital, in addition to numerous legacy companies that outsource the process to folks in countries like India. This is the same type of work that Bhatnagar’s family had worked on.
Bhatnagar thinks that part of the reason demand has been so high for Kintsugi is its approach to landing customers. The company allows potential customers to sign up for free and test out whether they like it. If they choose to proceed, they can pay $100 per tax filing or create a custom plan. Bhatnagar added that some of their competitors charge hefty fees just for onboarding to their platforms.
“We are the only company in the space that has a ‘get started’ button, that has a ‘we will do your sales tax analysis for free [button],’” Bhatnagar said. “And that’s not going to be just done once. You can create a free account, and every seven minutes the report is going to be updated for you. And that’s a value prop that we want to provide to founders for free, even if they decide to not pay a single dime for Kintsugi.”
Kintsugi plans to use its new capital to keep expanding its tech and to help the company gear up to expand into Canada and Europe.
“We are a bunch of nerds,” Bhatnagar said. “We are not trying to sell any snake oil. Connect your data, see the results.”
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