MachEye raises $4.6M for its business intelligence platform

Posted by on 28 October, 2020

This post was originally published on this site

We’ve seen our fair share of business intelligence (BI) platforms that aim to make data analysis accessible to everybody in a company. Most of them are still fairly complicated, no matter what their marketing copy says. MachEye, which is launching its AI-powered BI platform today, is offering a new twist on this genre. In addition to its official launch, the company also today announced a previously unreported $4.6 seed funding round led by Canaan Partners with participation from WestWave Capital.

MachEye is not just what its founder and CEO Ramesh Panuganty calls a “low-prep, no-prep” BI platform, but it uses natural language processing to allow anybody to query data using natural language — and it can then automatically generate interactive data stories on the fly that put the answer into context. That’s quite a different approach from its more dashboard-centric competition.

“I have seen the business intelligence problems in the past,” Panuganty said. “And I saw that Traditional BI, even though it has existed for 30 or 40 years, had this paradigm of ‘what you ask is what you get.’ So the business user asks for something, either in an email, on the phone or in person, and then he gets an answer to that question back. That essentially has these challenges of being dependent on the experts and there is a time that is lost to get the answers — and then there’s a lack of exploratory capabilities for the business user. and the bigger problem is that they don’t know what they don’t know.”

Panuganty’s background includes time at Sun Microsystems and Bell Labs, working on their operating systems before becoming an entrepreneur. He build three companies over the last 12 years or so. The first was a cloud management platform, Cloud365, which was acquired by Cognizant. The second was analytics company Drastin, which got acquired by Splunk in 2017, and the third was the AI-driven educational platform SelectQ, which Thinker acquired this April. He also holds 15 patents related to machine learning, analytics and natural language processing.

Given that track record, it’s probably no surprise why VCs wanted to invest in his new startup, too. Panuganty tells me that when he met with Canaan Partners, he wasn’t really looking for an investment. He had already talked to the team while building SelectQ, but Canaan never got to make an investment because the company got acquired before it needed to raise more funding. But after an informal meeting that ended up lasting most of the day, he received an offer the next morning.

Image Credits: MachEye

MachEye’s approach is definitely unique. “Generating audio-visuals on enterprise data, we are probably the only company that does it,” Panuganty said. But it’s important to note that it also offers all of the usual trappings of a BI service. If you really want dashboards, you can build those, and developers can use the company’s APIs to use their data elsewhere, too. The service can pull in data from most of the standard databases and data warehousing services, including AWS Redshift, Azure Synapse, Google BigQuery, Snowflake and Oracle. The company promises that it only takes 30 minutes from connecting a data source to being able to ask questions about that data.

Interestingly, MachEye’s pricing plan is per seat and doesn’t limit how much data you can query. There’s a free plan, but without the natural search and query capabilities, an $18/month/user plan that adds those capabilities and additional search features, but it takes the enterprise plan to get the audio narrations and other advanced features. The team is able to use this pricing model because it is able to quickly spin up the container infrastructure to answer a query and then immediately shut it down again — all within about two minutes.

Posted Under: Tech News
Daily Crunch: Zoom adds end-to-end encryption to free calls

Posted by on 27 October, 2020

This post was originally published on this site

Zoom adds a much-requested feature (but with a catch), TikTok partners with Shopify and Jack Dorsey lays out his argument for tomorrow’s Senate hearing. This is your Daily Crunch for October 27, 2020.

The big story: Zoom adds end-to-end encryption to free calls

Zoom was criticized earlier this year for saying it would only offer end-to-end encryption to paid users. Now it says free users will have the option as well, starting in Zoom 5.4.0 on both desktop and mobile.

There are, however, a few catches. If you use end-to-end encryption in a free meeting, features like cloud recording, live transcription and meeting reactions will not be available, nor will participants be able to join the call by phone.

In addition, you’ll need to provide a phone number and billing information. And you’ll need to use the Zoom app rather than joining a meeting via web browser.

The tech giants

TikTok partners with Shopify on social commerce — At launch, the agreement allows Shopify merchants to create, run and optimize their TikTok marketing campaigns directly from the Shopify dashboard.

How Jack Dorsey will defend Twitter in tomorrow’s Senate hearing on Section 230 — In his opening statement, the Twitter CEO calls Section 230 “the Internet’s most important law for free speech and safety” and focuses on the kind of cascading effects that could arise if tech’s key legal shield comes undone.

Microsoft stock flat despite better-than-expected earnings, strong Azure growth — In the three months ending September 30, Microsoft had revenues of $37.2 billion and per-share profit of $1.82.

Startups, funding and venture capital

Next-gen skincare, silk without spiders and pollution for lunch: Meet the biotech startups pitching at IndieBio’s Demo Day — Starting in 2015, IndieBio has provided resources to founders solving complex challenges with biotech, from fake meat to sustainability.

SpaceX launches Starlink app and provides pricing and service info to early beta testers — In terms of pricing, SpaceX says the cost for participants in this beta program will be $99 per month, plus a one-time cost of $499 for hardware.

SimilarWeb raises $120M for its AI-based market intelligence platform for sites and apps — The company will expand through acquisitions and its own R&D, with a focus on providing more analytics services to larger enterprises.

Advice and analysis from Extra Crunch

Five startup theses that will transform the 2020s — Danny Crichton lays out five clusters: wellness, climate, data society, creativity and fundamentals.

Ten favorite startups from Techstars’ October 2020 class — Ten favorites culled from the Atlanta, Los Angeles and New York City cohorts, as well as its accelerator with Western Union.

(Reminder: Extra Crunch is our membership program, which aims to democratize information about startups. You can sign up here.)

Everything else

Hands-on: Sony’s DualSense PS5 controller could be a game changer — The question is whether developers will truly embrace the new haptics and audio features.

T-Mobile launches new TVision streaming bundles, pricing starts at $10 per month — The carrier is launching new skinny bundles of live TV and streaming services to compete with expensive cable subscriptions.

The Daily Crunch is TechCrunch’s roundup of our biggest and most important stories. If you’d like to get this delivered to your inbox every day at around 3pm Pacific, you can subscribe here.

Posted Under: Tech News
Rockset announces $40M Series B as data analytics solution gains momentum

Posted by on 27 October, 2020

This post was originally published on this site

Rockset, a cloud-native analytics company, announced a $40 million Series B investment today led by Sequoia with help from Greylock, the same two firms that financed its Series A. The startup has now raised a total of $61.5 million, according to the company.

As co-founder and CEO Venkat Venkataramani told me at the time of the Series A in 2018, there is a lot of manual work involved in getting data ready to use and it acts as a roadblock to getting to real insight. He hoped to change that with Rockset.

“We’re building out our service with innovative architecture and unique capabilities that allows full-featured fast SQL directly on raw data. And we’re offering this as a service. So developers and data scientists can go from useful data in any shape, any form to useful applications in a matter of minutes. And it would take months today,” he told me in 2018.

In fact, “Rockset automatically builds a converged index on any data — including structured, semi-structured, geographical and time series data — for high-performance search and analytics at scale,” the company explained.

It seems to be resonating with investors and customers alike as the company raised a healthy B round and business is booming. Rockset supplied a few metrics to illustrate this. For starters, revenue grew 290% in the last quarter. While they didn’t provide any foundational numbers for that percentage growth, it is obviously substantial.

In addition, the startup reports adding hundreds of new users, again not nailing down any specific numbers, and queries on the platform are up 313%. Without specifics, it’s hard to know what that means, but that seems like healthy growth for an early stage startup, especially in this economy.

Mike Vernal, a partner at Sequoia, sees a company helping to get data to work faster than other solutions, which require a lot of handling first. “Rockset, with its innovative new approach to indexing data, has quickly emerged as a true leader for real-time analytics in the cloud. I’m thrilled to partner with the company through its next phase of growth,” Vernal said in a statement.

The company was founded in 2016 by the creators of RocksDB. The startup had previously raised a $3 million seed round when they launched the company and the $18.5 million A round in 2018.

Posted Under: Tech News
Lightyear scores $3.7M seed to digitize networking infrastructure procurement

Posted by on 27 October, 2020

This post was originally published on this site

Lightyear, a New York City startup that wants to make it easier for large companies to procure networking infrastructure like internet and SD-WAN, announced a $3.7 million seed round today. While it was at it, the company announced that it was emerging from stealth and offering its solution in public beta.

Amplo led the round with help from Susa Ventures, Ludlow Ventures, Mark Cuban, David Adelman and Operator Partners.

Company CEO and co-founder Dennis Thankachan says that while so much technology buying has moved online, networking technology procurement still involves phone calls for price quotes that could sometimes take weeks to get. Thankachan says that when he was working at a hedge fund specializing in telecommunications he witnessed this first hand and saw an opportunity for a startup to fill the void.

“Our objective is to make the process of buying telecom infrastructure, kind of like buying socks on Amazon, providing a real consumer-like experience to the enterprise and empowering buyers with data because information asymmetry and a lack of transparent data on what things should cost, where providers are available, and even what’s existing already in your network is really at the core of the problem for why this is frustrating for enterprise buyers,” Thankachan explained.

The company offers the ability to simply select a service and find providers in your area with costs and contract terms if it’s a simple purchase, but he recognizes that not all enterprise purchases will be that simple and the startup is working to digitize the corporate buying process into the Lightyear platform.

To provide the data that he spoke of, the company has already formed relationships with over 400 networking providers worldwide. The pricing model is in flux, but could involve a monthly subscription or a percentage of the sale. That is something they are working out, but they are using the latter during Beta testing to keep the product free for now.

The company already has 10 employees and flush with the new investment, it plans to double that in the next year. Thankachan says as he builds the company, particularly as a person of color himself, he takes diversity and inclusion extremely seriously and sees it as part of the company’s core values.

“Trying to enable people from non-traditional backgrounds to succeed will be really important to us, and I think providing economic opportunity to people that traditionally would not have been afforded several aspects of economic opportunity is the biggest ways to fix the opportunity gap in this country,” he said.

The company, which launched a year ago has basically grown up during the pandemic. That means he has yet to meet any of his customers or investors in person, but he says he has learned to adapt to that approach. While he is based in NYC, his investors are are in the Bay Area and so that remote approach will remain in place for the time being.

As he makes his way from seed to a Series A, he says that it’s up to him to stay focused and execute with the goal of showing product-market fit across a variety of company types. He believes if the startup can do this, it will have the data to take to investors when it’s time to take the next step.

Posted Under: Tech News
Vimeo introduces free video messaging with Vimeo Record

Posted by on 27 October, 2020

This post was originally published on this site

Vimeo Record is a new product that allows teams to communicate through video messages.

Vimeo CEO Anjali Sud said that while the pandemic has prompted many offices to embrace digital communication tools like Zoom, “There’s a whole host of work communication that needs asynchronous messaging.”

Besides, sometimes a video can get your message across more effectively, rather than “scheduling another call or writing a long email or Slack thread.”

Sud said that since she became CEO of the IAC-owned video platform in 2017, Vimeo has shifted its focus from being a destination site that competed with YouTube to providing video tools for businesses: “We really want to be the single corporate video solution for the modern organization.”

Vimeo Record is an extension of that strategy. During the pandemic, Vimeo’s revenue has already been growing 40% to 50% year-over-year each month, but Sud said this product been in the works since before then, reflecting the long-term trend that “more and more teams are distributed, and they need ways to communicate.”

Collaborate better remotely with Vimeo Record from Vimeo Staff on Vimeo.

So Vimeo created a Google Chrome extension that allows users to easily record their screen or their face, share and comment on those recordings, organize them into folders with different permissions and receive notifications when someone watches.

Sud said around 400 companies have already been beta testing the feature. Teams are using it to review design and code, to work together to resolve customer support tickets, to share messages from company leadership and more.

Asked whether there’s been a learning curve for recording effective video messages, Sud said, “The biggest barrier is just making it not feel intimidating. The easiest way [to do that] is for people to receive a video message themselves. If a colleague sends you something that’s not perfect, it lowers that intimidation factor.”

She also noted that Vimeo Record fits into the company’s freemium business model. Anyone can send unlimited messages for free, but Vimeo will charge for premium features like the ability to host videos on a third-party, custom-branded video platform.

“My team is using Vimeo Record to share product demos internally and to give our customers a preview of what’s launching soon,” said Mailchimp’s director of product marketing Trevor Wolfe in a statement. “We love it! It adds a personal touch that you just can’t replicate with email or a chatroom message.”

Posted Under: Tech News
SimilarWeb raises $120M for its AI-based market intelligence platform for sites and apps

Posted by on 27 October, 2020

This post was originally published on this site

Israeli startup SimilarWeb has made a name for itself with an AI-based platform that lets sites and apps track and understand traffic not just on their own sites, but those of its competitors. Now, it’s taking the next step in its growth. The startup has raised $120 million, funding it will use to continue expanding its platform both through acquisitions and investing in its own R&D, with a focus on providing more analytics services to larger enterprises alongside its current base of individuals and companies of all sizes that do business on the web.

Co-led by ION Crossover Partners and Viola Growth, the round doubles the total amount that the startup has raised to date to $240 million. Or Offer, SimilarWeb’s founder and CEO, said in an interview that it was not disclosing its valuation this time around except to say that his company is now “playing in the big pool.” It counts more than half of the Fortune 100 as customers, with Walmart, P&G, Adidas and Google, among them.

For some context, it hit an $800 million valuation in its last equity round, in 2017.

SimilarWeb’s technology competes with other analytics and market intelligence providers ranging from the likes of Nielsen and ComScore through to the Apptopias of the world in that, at its most basic level, it provides a dashboard to users that provides insights into where people are going on desktop and mobile. Where it differs, Offer said, is in how it gets to its information, and what else it’s doing in the process.

For starters, it focuses not just how many people are visiting, but also a look into what is triggering the activity — the “why”, as it were — behind the activity. Using a host of AI tech such as machine learning algorithms and deep learning — like a lot of tech out of Israel, it’s being built by people with deep expertise in this area — Offer says that SimilarWeb is crunching data from a number of different sources to extrapolate its insights.

He declined to give much detail on those sources but told me that he cheered the arrival of privacy gates and cookie lists for helping ferret out, expose and sometimes eradicate some of the more nefarious “analytics” services out there, and said that SimilarWeb has not been affected at all by that swing to more data protection, since it’s not an analytics service, strictly speaking, and doesn’t sniff data on sights in the same way. It’s also exploring widening its data pool, he added:

“We are always thinking about what new signals we could use,” he said. “Maybe they will include CDNs. But it’s like Google with its rankings in search. It’s a never ending story to try to get the highest accuracy in the world.”

The global health pandemic has driven a huge amount of activity on the web this year, with people turning to sites and apps not just for leisure — something to do while staying indoors, to offset all the usual activities that have been cancelled — but for business, whether it be consumers using e-commerce services for shopping, or workers taking everything online and to the cloud to continue operating.

That has also seen a boost of business for all the various companies that help the wheels turn on that machine, SimilarWeb included.

“Consumer behavior is changing dramatically, and all companies need better visibility,” said Offer. “It started with toilet paper and hand sanitizer, then moved to desks and office chairs, but now it’s not just e-commerce but everything. Think about big banks, whose business was 70% offline and is now 70-80% online. Companies are building and undergoing a digital transformation.”

That in turn is driving more people to understand how well their web presence is working, he said, with the basic big question being: “What is my marketshare, and how does that compare to my competition? Everything is about digital visibility, especially in times of change.”

Like many other companies, SimilarWeb did see an initial dip in business, Offer said, and to that end the company has taken on some debt as part of Israel’s Paycheck Protection Program, to help safeguard some jobs that needed to be furloughed. But he added that most of its customers prior to the pandemic kicking off are now back, along with customers from new categories that hadn’t been active much before, like automotive portals.

That change in customer composition is also opening some doors of opportunity for the company. Offer noted that in recent months, a lot of large enterprises — which might have previously used SimilarWeb’s technology indirectly, via a consultancy, for example — have been coming to the company direct.

“We’ve started a new advisory service [where] our own expert works with a big customer that might have more deep and complex questions about the behaviour we are observing. They are questions all big businesses have right now.” The service sounds like a partly-educational effort, teaching companies that are not necessarily digital-first be more proactive, and partly consulting.

New customer segments, and new priorities in the world of business, are two of the things that drove this round, say investors.

“SimilarWeb was always an incredible tool for any digital professional,” said Gili Iohan of ION Crossover Partners, in a statement. “But over the last few months it has become apparent that traffic intelligence — the unparalleled data and digital insight that SimilarWeb offers — is an absolute essential for any company that wants to win in the digital world.”

As for acquisitions, SimilarWeb has historically made these to accelerate its technical march. For example, in 2015 it acquired Quettra to move deeper into mobile analytics and it acquired Swayy to move into content discovery insights (key for e-commerce intelligence). Offer would not go into too much detail about what it has identified as a further target but given that there are quite a lot of companies building tech in this area currently, that there might be a case for some consolidation around bigger platforms to combine some of the features and functionality. Offer said that it was looking at “companies with great data and digital intelligence, with a good product. There are a lot of opportunities right now on the table.”

The company will also be doing some hiring, with the plan to be to add 200 more people globally by January (it has around 600 employees today).

“Since we joined the company three years ago, SimilarWeb has executed a strategic transformation from a general-purpose measurement platform to vertical-based solutions, which has significantly expanded its market opportunity and generated immense customer value,” said Harel Beit-On, Founder and General Partner at Viola Growth, in a statement. “With a stellar management team of accomplished executives, we believe this round positions the company to own the digital intelligence category, and capitalize on the acceleration of the digital era.”

Posted Under: Tech News
AMD grabs Xilinx for $35 billion as chip industry consolidation continues

Posted by on 27 October, 2020

This post was originally published on this site

The chip industry consolidation dance continued this morning as AMD has entered into an agreement to buy Xilinx for $35 billion, giving the company access to a broad set of specialized workloads.

AMD sees this deal as combining two companies that complement each other’s strengths without cannibalizing its own markets. CEO Lisa Su believes the acquisition will help make her company the high performance chip leader.

“By combining our world-class engineering teams and deep domain expertise, we will create an industry leader with the vision, talent and scale to define the future of high performance computing,” Su said in a statement.

In an article earlier this year, TechCrunch’s Darrell Etherington described Xilinx new satellite focused chips as offering a couple of industry firsts:

It’s the first 20nm process that’s rated for use in space, offering power and efficiency benefits, and it’s the first to offer specific support for high performance machine learning through neural network-based inference acceleration.

What’s more, the chips are designed to handle radiation and the rigors of launch, using a thick ceramic packaging.

In a call with analysts this morning, Su pointed to these kinds of specialized workloads as one of Xilinx’s strengths. “Xilinx has also built deep strategic partnerships across a diverse set of growing markets in 5G communications, data center, automotive, industrial, aerospace and defense. Xilinx is establishing themselves as a strategic technology partner to a broad set of industry leaders,” she said.

The success of these kinds of mega deals tend to hinge on whether the combined companies can work well together. Su pointed out that the two companies have been partnering for a number of years and already have a relationship, and the two company leaders share a common vision.

“Both AMD and Xilinx share common culture, focused on innovation, execution and collaborating deeply with customers. From a leadership standpoint, Victor and I have a shared vision of where we can take high performance and adaptive computing in the future,” Su said.

In a nod to shareholders of both companies, she said, “This is truly a compelling combination that will create significant value for all stakeholders, including AMD and Xilinx shareholders who will benefit from the future growth and upside potential of the combined company.”

So far stockholders aren’t impressed with AMD stock down over 4% in pre-trading, while Xilinx stock is up over 11% in pre-trading.  Xilinx has a market cap over $28 billion compared with AMD’s $96.5 billion, creating a massive combined company.

This deal comes on the heels of last month’s ARM acquisition by Nvidia for $40 billion. With two deals in less than two months totaling $75 million, the industry is looking at the bigger is better theory. Meanwhile Intel took a hit earlier this month after its earnings report showed weakness in its data center business.

While the deal has been approved by both company’s boards of directors, it still has to pass muster with shareholders and regulators, and is not expected to close until the end of next year.

When that happens Su will be chairman of the combined company, while Xilinx president and CEO, Victor Peng will join AMD as president, where he will be in charge of the Xilinx business and strategic growth initiatives.

It’s worth noting that the Wall Street Journal first reported that a deal between these two companies could be coming together earlier this month.

Posted Under: Tech News
Freshworks (re-)launches its CRM service

Posted by on 26 October, 2020

This post was originally published on this site

Freshworks, the customer and employee engagement company that offers a range of products, from call center and customer support software to HR tools and marketing automation services, today announced the launch of its newest product: Freshworks CRM. The new service, which the company built on top of its new Freshworks Neo platform, is meant to give sales and marketing teams all of the tools they need to get a better view of their customers — with a bit of machine learning thrown in for better predictions.

Freshworks CRM is essentially a rebrand of the company’s Freshsales service, combined with the company’s capabilities of its Freshmarketer marketing automation tool.

“Freshworks CRM unites Freshsales and Freshmarketer capabilities into one solution, which leverages an embedded customer data platform for an unprecedented and 360-degree view of the customer throughout their entire journey,” a company spokesperson told me.

The promise here is that this improved CRM solution is able to provide teams with a more complete view of their (potential) customers thanks to the unified view — and aggregated data — that the company’s Neo platform provides.

The company argues that the majority of CRM users quickly become disillusioned with their CRM service of choice — and the reason for that is because the data is poor. That’s where Freshworks thinks it can make a difference.

Freshworks CRM delivers upon the original promise of CRM: a single solution that combines AI-driven data, insights and intelligence and puts the customer front and center of business goals,” said Prakash Ramamurthy, the company’s chief product officer. “We built Freshworks CRM to harness the power of data and create immediate value, challenging legacy CRM solutions that have failed sales teams with clunky interfaces and incomplete data.”

The idea here is to provide teams with all of their marketing and sales data in a single dashboard and provide AI-assisted insights to them to help drive their decision making, which in turn should lead to a better customer experience — and more sales. The service offers predictive lead scoring and qualification, based on a host of signals users can customize to their needs, as well as Slack and Teams integrations, built-in telephony with call recording to reach out to prospects and more. A lot of these features were already available in Freshsales, too.

“The challenge for online education is the ‘completion rate’. To increase this, we need to understand the ‘Why’ aspect for a student to attend a course and design ‘What’ & ‘How’ to meet the personalized needs of our students so they can achieve their individual goals,” said Mamnoon Hadi Khan, the chief analytics officer at Shaw Academy. “With Freshworks CRM, Shaw Academy can track the entire student customer journey to better engage with them through our dedicated Student Success Managers and leverage AI to personalize their learning experience — meeting their objectives.”

Pricing for Freshworks CRM starts at $29 per user/month and goes up to $125 per user/month for the full enterprise plan with more advanced features.

Posted Under: Tech News
DataFleets keeps private data useful and useful data private with federated learning and $4.5M seed

Posted by on 26 October, 2020

This post was originally published on this site

As you may already know, there’s a lot of data out there, and some of it could actually be pretty useful. But privacy and security considerations often put strict limitations on how it can be used or analyzed. DataFleets promises a new approach by which databases can be safely accessed and analyzed without the possibility of privacy breaches or abuse — and has raised a $4.5 million seed round to scale it up.

To work with data, you need to have access to it. If you’re a bank, that means transactions and accounts; if you’re a retailer, that means inventories and supply chains, and so on. There are lots of insights and actionable patterns buried in all that data, and it’s the job of data scientists and their ilk to draw them out.

But what if you can’t access the data? After all, there are many industries where it is not advised or even illegal to do so, such as in healthcare. You can’t exactly take a whole hospital’s medical records, give them to a data analysis firm, and say “sift through that and tell me if there’s anything good.” These, like many other data sets, are too private or sensitive to allow anyone unfettered access. The slightest mistake — let alone abuse — could have serious repercussions.

In recent years a few technologies have emerged that allow for something better, though: analyzing data without ever actually exposing it. It sounds impossible, but there are computational techniques for allowing data to be manipulated without the user ever actually having access to any of it. The most widely used one is called homomorphic encryption, which unfortunately produces an enormous, orders-of-magnitude reduction in efficiency — and big data is all about efficiency.

This is where DataFleets steps in. It hasn’t reinvented homomorphic encryption, but has sort of sidestepped it. It uses an approach called federated learning, where instead of bringing the data to the model, they bring the model to the data.

DataFleets integrates with both sides of a secure gap between a private database and people who want to access that data, acting as a trusted agent to shuttle information between them without ever disclosing a single byte of actual raw data.

Image Credits: DataFleets

Here’s an example. Say a pharmaceutical company wants to develop a machine-learning model that looks at a patient’s history and predicts whether they’ll have side effects with a new drug. A medical research facility’s private database of patient data is the perfect thing to train it. But access is highly restricted.

The pharma company’s analyst creates a machine-learning training program and drops it into DataFleets, which contracts with both them and the facility. DataFleets translates the model to its own proprietary runtime and distributes it to the servers where the medical data resides; within that sandboxed environment, it grows into a strapping young ML agent, which when finished is translated back into the analyst’s preferred format or platform. The analyst never sees the actual data, but has all the benefits of it.

Screenshot of the DataFleets interface. Look, it’s the applications that are meant to be exciting. Image Credits: DataFleets

It’s simple enough, right? DataFleets acts as a sort of trusted messenger between the platforms, undertaking the analysis on behalf of others and never retaining or transferring any sensitive data.

Plenty of folks are looking into federated learning; the hard part is building out the infrastructure for a wide-ranging enterprise-level service. You need to cover a huge amount of use cases and accept an enormous variety of languages, platforms and techniques, and of course do it all totally securely.

“We pride ourselves on enterprise readiness, with policy management, identity-access management, and our pending SOC 2 certification,” said DataFleets COO and co-founder Nick Elledge. “You can build anything on top of DataFleets and plug in your own tools, which banks and hospitals will tell you was not true of prior privacy software.”

But once federated learning is set up, all of a sudden the benefits are enormous. For instance, one of the big issues today in combating COVID-19 is that hospitals, health authorities, and other organizations around the world are having difficulty, despite their willingness, in securely sharing data relating to the virus.

Everyone wants to share, but who sends whom what, where is it kept, and under whose authority and liability? With old methods, it’s a confusing mess. With homomorphic encryption it’s useful but slow. With federated learning, theoretically, it’s as easy as toggling someone’s access.

Because the data never leaves its “home,” this approach is essentially anonymous and thus highly compliant with regulations like HIPAA and GDPR, another big advantage. Elledge notes: “We’re being used by leading healthcare institutions who recognize that HIPAA doesn’t give them enough protection when they are making a data set available for third parties.”

Of course there are less noble, but no less viable, examples in other industries: Wireless carriers could make subscriber metadata available without selling out individuals; banks could sell consumer data without violating anyone in particular’s privacy; bulky datasets like video can sit where they are instead of being duplicated and maintained at great expense.

The company’s $4.5 million seed round is seemingly evidence of confidence from a variety of investors (as summarized by Elledge): AME Cloud Ventures (Jerry Yang of Yahoo) and Morado Ventures, Lightspeed Venture Partners, Peterson Ventures, Mark Cuban, LG, Marty Chavez (president of the board of overseers of Harvard), Stanford-StartX fund, and three unicorn founders (Rappi, Quora and Lucid).

With only 11 full-time employees DataFleets appears to be doing a lot with very little, and the seed round should enable rapid scaling and maturation of its flagship product. “We’ve had to turn away or postpone new customer demand to focus on our work with our lighthouse customers,” Elledge said. They’ll be hiring engineers in the U.S. and Europe to help launch the planned self-service product next year.

“We’re moving from a data ownership to a data access economy, where information can be useful without transferring ownership,” said Elledge. If his company’s bet is on target, federated learning is likely to be a big part of that going forward.

Posted Under: Tech News
The No-Code Generation is arriving

Posted by on 26 October, 2020

This post was originally published on this site

In the distant past, there was a proverbial “digital divide” that bifurcated workers into those who knew how to use computers and those who didn’t.[1] Young Gen Xers and their later millennial companions grew up with Power Macs and Wintel boxes, and that experience made them native users on how to make these technologies do productive work. Older generations were going to be wiped out by younger workers who were more adaptable to the needs of the modern digital economy, upending our routine notion that professional experience equals value.

Of course, that was just a narrative. Facility with using computers was determined by the ability to turn it on and login, a bar so low that it can be shocking to the modern reader to think that a “divide” existed at all. Software engineering, computer science, and statistics remained quite unpopular compared to other academic programs, even in universities, let alone in primary through secondary schools. Most Gen Xers and millennials never learned to code, or frankly, even to make a pivot table or calculate basic statistical averages.

There’s a sociological change underway though, and it’s going to make the first divide look quaint in hindsight.

Over the past two or so years, we have seen the rise of a whole class of software that has been broadly (and quite inaccurately) dubbed “no-code platforms.” These tools are designed to make it much easier for users to harness the power of computing in their daily work. That could be everything from calculating the most successful digital ad campaigns given some sort of objective function, or perhaps integrating a computer vision library into a workflow that calculates the number of people entering or exiting a building.

The success and notoriety of these tools comes from the feeling that they grant superpowers to their users. Projects that once took a team of engineers some hours to build can now be stitched together in a couple of clicks through a user interface. That’s why young startups like Retool can raise at nearly a $1 billion and Airtable at $2.6 billion, while others like Bildr, Shogun, Bubble, Stacker, and dozens more are getting traction among users.

Of course, no-code tools often require code, or at least, the sort of deductive logic that is intrinsic to coding. You have to know how to design a pivot table, or understand what a machine learning capability is and what might it be useful for. You have to think in terms of data, and about inputs, transformations, and outputs.

The key here is that no-code tools aren’t successful just because they are easier to use — they are successful because they are connecting with a new generation who understands precisely the sort of logic required by these platforms to function. Today’s students don’t just see their computers and mobile devices as consumption screens and have the ability to turn them on. They are widely using them as tools of self-expression, research and analysis.

Take the popularity of platforms like Roblox and Minecraft. Easily derided as just a generation’s obsession with gaming, both platforms teach kids how to build entire worlds using their devices. Even better, as kids push the frontiers of the toolsets offered by these games, they are inspired to build their own tools. There has been a proliferation of guides and online communities to teach kids how to build their own games and plugins for these platforms (Lua has never been so popular).

These aren’t tiny changes. 150 million play Roblox games across 40 million user-created experiences, and the platform has nearly 350,000 developers. Minecraft for its part has more than 130 million active users. These are generation-defining experiences for young people today.

That excitement to harness computers is also showing up in educational data. Advanced Placement tests for Computer Science have grown from around 20,000 in 2010 to more than 70,000 this year according to the College Board, which administers the high school proficiency exams. That’s the largest increase among all of the organization’s dozens of tests. Meanwhile at top universities, computer science has emerged as the top or among the top majors, pulling in hundreds of new students per campus per year.

The specialized, almost arcane knowledge of data analysis and engineering is being widely democratized for this new generation, and that’s precisely where a new digital divide is emerging.

In business today, it’s not enough to just open a spreadsheet and make some casual observations anymore. Today’s new workers know how to dive into systems, pipe different programs together using no-code platforms, and answer problems with much more comprehensive — and real-time — answers.

It’s honestly striking to see the difference. Whereas just a few years ago, a store manager might (and strong emphasis on might) put their sales data into Excel and then let it linger there for the occasional perusal, this new generation is prepared to connect multiple online tools together to build an online storefront (through no-code tools like Shopify or Squarespace), calculate basic LTV scores using a no-code data platform, and prioritize their best customers with marketing outreach through basic email delivery services. And it’s all reproducible, since it is in technology and code and not produced by hand.

There are two important points here. First is to note the degree of fluency these new workers have for these technologies, and just how many members of this generation seem prepared to use them. They just don’t have the fear to try new programs out, and they know they can always use search engines to find answers to problems they are having.

Second, the productivity difference between basic computer literacy and a bit more advanced expertise is profound. Even basic but accurate data analysis on a business can raise performance substantially compared to gut instinct and expired spreadsheets.

This second digital divide is only going to get more intense. Consider students today in school, who are forced by circumstance to use digital technologies in order to get their education. How many more students are going to become even more capable of using these technologies? How much more adept are they going to be at remote work? While the current educational environment is a travesty and deeply unequal, the upshot is that ever more students are going to be forced to become deeply fluent in computers.[2]

Progress in many ways is about raising the bar. This generation is raising the bar on how data is used in the workplace, in business, and in entrepreneurship. They are better than ever at bringing together various individual services and cohering them into effective experiences for their customers, readers, and users. The No-Code Generation has the potential to finally fill that missing productivity gap in the global economy, making our lives better while saving time for everyone.

[1] Probably worth pointing out that the other “digital divide” at the time was describing households who had internet access and households who did not. That’s a divide that unfortunately still plagues America and many other rich, industrialized countries.

[2] Important to note that access to computing is still an issue for many students and represents one of the most easily fixable inequalities today in America. Providing equal access to computing should be an absolute imperative.

Posted Under: Tech News
Page 2 of 7812345...102030...Last »

Social Media

Bulk Deals

Subscribe for exclusive Deals

Recent Post

Archives

Facebook

Twitter

Subscribe for exclusive Deals




Copyright 2015 - InnovatePC - All Rights Reserved

Site Design By Digital web avenue