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Tag Archives: itself

Agility Robotics’ humanoid Digit robot helps itself to the logistics market

November 13, 2020   Big Data
 Agility Robotics’ humanoid Digit robot helps itself to the logistics market

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As the pandemic wears on, humanoid robots that can perform general tasks could become increasingly important. They can move heavy objects in warehouses, assist with last-yard deliveries, and potentially be involved in other tasks where low human-to-human contact is preferable for safety reasons.

Agility Robotics is one of the companies making these helper robots. The company, which was spun out of the Dynamic Robotics Laboratory at Oregon State University, first got broad attention last year when it began a pilot with Ford, delivering packages in concert with the car maker’s autonomous vehicles. And it’s capitalizing on fortuitous timing. When the pandemic hit, Agility Robotics had already turned from a lab project into a real company, and it was reaching a level of project maturity with its bipedal Digit robot. Now the company, fresh off of a $ 20 million funding round, is accelerating its quest to claim a chunk of the robot-powered material-handling and logistics market with additional partnerships and impending new versions of Digit.

A general-purpose robot

Sometimes when people say “robot,” it’s shorthand for automated machines like a robot arm that can sort rubbish or flip burgers. But Agility Robotics’ Digit is more in line with what a child usually imagines a robot to be: humanoid, with a head (sort of), torso, two arms, and two legs. Digit is an evolution of the company’s original robot, Cassie, which had two legs but no arms. As Agility Robotics CEO Damion Shelton quipped in an interview with VentureBeat, “Digit is the product we were always building; we just happen to be able to stop halfway up the body and sell the legs separately — which was Cassie — and then once you complete the upper body, that was Digit.”

Some robots, especially those of the non-humanoid variety, are single-purpose. That is, they do only one thing, ideally with extreme precision and efficiency. By contrast, Digit is a general-purpose robot, which is to say that it’s designed to be able to perform a variety of non-specific tasks reasonably well.

Shelton illustrated the difference. “Let’s imagine you have a business that has a conventional high-speed conveyor belt, and you have a task which is, say, you have to shove a packet off that conveyor belt. If you’re doing that 24 hours a day at superhuman speeds, there’s really no reason not to fully automate it,” he said. That’s a case where a single-purpose robot is ideal.

“The reverse example is: Imagine you’re at my house. I get firewood delivered once a year. I couldn’t possibly use a [firewood-stacking] robot 24/7. And so something that can do firewood loading and unloading in my woodshed once a year, and then infill other tasks as the duty cycle demands, is more useful,” Shelton said.

By default, Digit ships with a sort of general “intelligence,” where it can stand up, it knows how to move through environments without bumping into things, and it can pick up objects. It doesn’t know how to, say, drive a truck. But Shelton says its general capabilities are versatile and can serve a variety of needs.

“There’s not actually a ton of difference between carrying tomatoes in a field in California and carrying a box up to my doorstep,” he said. There are obviously some differences, like the climate, the specifics of knowing how not to step on plants, and so on. “But the differentiation is really at that application layer, much more so than it is at the core ergonomics layer.”

What comes next

Although Shelton alluded to upcoming partnerships with other companies, for the moment, he’s mum on the details. As is often the case, there are non-disclosure agreements (NDAs) in place as deals become final and all parties agree to the timing of announcements. The Ford pilot was a huge get for the small company, but Shelton wasn’t able to give any on-the-record updates on how that project is going. Ford did not respond to VentureBeat’s request for comment on the matter. But beyond that, “Ford is not the only partner we have,” Shelton said. “We’re working in areas that I think would not be surprising to anybody […] who is looking at material handling, logistics — those kinds of applications.”

More than anything, though, the recent funding marks a pivot for Agility Robotics as it moves beyond R&D and toward actual commercial deployments. “The plan had always been to sell Cassie as an R&D device and Digit as the commercial product,” Shelton said.

Shelton said that the company is already designing the next two versions of Digit (although the second one may have a different moniker when it arrives). They’re on approximately a two-year product cycle, meaning that the second one is about four years out.

The first update is more about maximizing Digit’s existing hardware capabilities than anything else. Shelton likens it to the debuts of the iPhone and App Store — the hardware came out first, and then the second wave of the product brought the App Store and unlocked so much of what the hardware could do. The innovation was in the applications that took advantage of the hardware. That’s where Agility Robotics is in Digit’s development and deployment. “We’re excited to be boring for the next version of [Digit], which lets us focus on the software more than the hardware,” Shelton joked.

The company offers customers an API, and they can use local or web-based interfaces to send commands to Digit, or even write low-level code.

The next version of Digit is yet to be defined, but Agility Robotics knows how it wants to get there, at least. “There’s the ‘unknown unknowns’ and the ‘known unknowns,’ and you can really only design toward the known unknowns,” Shelton said. “So the [second Digit] is really going to be a roll-up of all of what we’ve learned with the partners that we’re deploying with over the next couple years, and is intended to sort of backfill things that can’t be changed just with software improvements.” He didn’t elaborate on what some of those potential hardware upgrades would be, but he did toss out the example of adding fingers to Digit’s grippers if a customer needed it to, for example, sort high volumes of mail.

Ironically, building and shipping a product that can potentially solve pandemic-related challenges during a pandemic is not easy. “One of the big procedural changes that we’ve had to go through, much sooner than we probably otherwise would have, is really thinking through Digit as something that you can unbox and use as a totally independent customer,” Shelton said. Before the pandemic, if a customer needed some assistance getting a Digit up and running, an engineer could just hop on a plane and be on site in a few hours; that’s just not an option these days. That forced Agility Robotics to push for product maturity, enabling out-of-the-box deployment, with more urgency.

The competition

While Agility Robotics appears locked into two iterations of its core robot over the next four years, a chief competitor in the logistics market, Boston Dynamics, is diversifying. It’s working on Pick and Handle, which are designed to perform tasks like moving boxes in a warehouse; Spot, a modular quadruped robot (read: robot dog); and the humanoid biped Atlas robot. Atlas competes directly with Digit, but Boston Dynamics isn’t planning to commercialize it yet.

Boston Dynamics has had multiple parent companies over the years — Google, then Softbank, and now potentially Hyundai. Like Ford, Hyundai is working on autonomous vehicles. If Hyundai secures the deal, both automakers will own or will be partnering with general-purpose logistical helper robots, too.

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Ubisoft uses AI to teach a car to drive itself in a racing game

December 29, 2019   Big Data
 Ubisoft uses AI to teach a car to drive itself in a racing game

Reinforcement learning, an AI training technique that employs rewards to drive software policies toward goals, has been applied successfully to domains from industrial robotics to drug discovery. But while firms including OpenAI and Alphabet’s DeepMind have investigated its efficacy in video games like Dota 2, Quake III Arena, and StarCraft 2, few to date have studied its use under constraints like those encountered in the game industry.

That’s presumably why Ubisoft La Forge, game developer Ubisoft’s eponymous prototyping space, proposed in a recent paper an algorithm that’s able to handle discrete, continuous video game actions in a “principled” and predictable way. They set it loose on a “commercial game” (likely The Crew or The Crew 2, though neither is explicitly mentioned) and report that it’s competitive with state-of-the-art benchmark tasks.

“Reinforcement Learning applications in video games have recently seen massive advances coming from the research community, with agents trained to play Atari games from pixels or to be competitive with the best players in the world in complicated imperfect information games,” wrote the coauthors of a paper describing the work. “These systems have comparatively seen little use within the video game industry, and we believe lack of accessibility to be a major reason behind this. Indeed, really impressive results … are produced by large research groups with computational resources well beyond what is typically available within video game studios.”

The Ubisoft team, then, sought to devise a reinforcement learning approach that’d address common challenges in video game development. They note that data sample collection tends to be a lot slower generally, and that there exist time budget constraints over the runtime performance of agents.

Their solution is based on the Soft Actor-Critic architecture proposed early last year by researchers at the University of California, Berkeley, which is more sample-efficient than traditional reinforcement learning algorithms and which robustly learns to generalize to conditions that it hasn’t seen before. They extend it to a hybrid setting with both continuous and discrete actions, a situation often encountered in video games (e.g., when a player has the freedom to perform actions like moving and jumping, each of which are associated with parameters like target coordinates and direction).

The Ubisoft researchers evaluated their algorithm on three environments designed to benchmark reinforcement learning systems, including a simple platformer-like game and two soccer-based games. They claim that its performance fell slightly short of industry-leading techniques, which they attribute to an architectural quirk. But they say that in a separate test, they successfully used it to train a video game vehicle with two continuous actions (acceleration and steering) and one binary discrete action (hand brake), the objective being to follow a given path as quickly as possible in environments the agent didn’t encounter during training.

“We showed that Hybrid SAC can be successfully applied to train a car on a high-speed driving task in a commercial video game,” wrote the researchers, who futher noted that their approach can accommodate a wide range of potential ways for an agent to interact with a video game environment, such as when the agent has the same inputs as a player (whose controller might be equipped with an analog stick that provides continuous values and buttons that can be pressed to yield discrete actions through combinations). “[This demonstrates] the practical usefulness of such an algorithm for the video game industry.”

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125-Year-Old Cornell Store Reinvents Itself as Omnichannel Retailer

December 5, 2019   NetSuite

By Ian McCue, Content Manager

In the past, college students had primarily one option when buying textbooks, souvenirs and other campus life essentials: their campus store.

A national shift in the academic materials and textbook market over the past decade gave students the option to purchase these items through various ecommerce merchants and chain stores. Course materials also became more complex with online rental services and the emergence of digital books.

These changes disrupted the business model at The Cornell Store, the official campus store for Cornell University in Ithaca, N.Y. Since 2013, the portion of The Cornell Store’s revenue from academic materials – including textbooks, school supplies, art supplies and the like – dropped from 27% to 16% of total sales.

“There’s a lot of different avenues to distribute course materials now. Additionally, there are many different formats to distribute it in, which is a national trend that really no one can stop,” Chris Cave, associate director at Cornell Retail Services, said. “We took a proactive approach to respond to this trend and aggressively reviewed other business and service opportunities.”

DSCN0191 2 125 Year Old Cornell Store Reinvents Itself as Omnichannel RetailerThe campus store knew this trend would only deepen and embarked on a plan to become a full-service retailer, adjusting its business model and organizational structure. That has been no small feat for a business initially founded by students in 1895 as Cornell Cooperative Society before becoming a wholly-owned subsidiary of Cornell University in the late 1940s. It was later named The Cornell Store, which is now part of a broader unit that manages on-campus retail called Cornell Retail Services. Although part of the university, Cornell Retail Services is completely self-funded and must cover all its own expenses, including all operating, personnel and systems expenses and any store improvements. Cornell Retail Services also has a directive from the university to generate revenue to support student and university programs.

To offset the decline in academic materials sales, Cornell Retail Services focused on building a strong selection of general merchandise, including clothing, accessories and gifts. Operating as a true retailer, the business started regularly sending buyers to industry events; testing new items and product categories; procuring higher-margin merchandise; strengthening vendor relationships; and becoming highly promotional, with more in-store events, sales and targeted discounts.

To best meet shifting customer needs, the store altered its layout to open more space for growing product categories like general merchandise and retail technology. When Cornell Retail Services remodeled its flagship store on central campus, it added a café to draw more foot traffic and convert some visitors into customers. It expanded in-store services for on-campus customers, including shipping services and a SmartDesk for new computer setup, diagnostics and troubleshooting. Cornell Retail Services also expanded its store footprint, opening four new locations in Ithaca (all focused on general merchandise) and another in New York City on the Weill Cornell Medicine campus.

Those efforts paid off – over the last six years, general merchandise sales at Cornell Retail Services grew by 43% and now represents its largest business segment.

“Our goal is to be a full-fledged retail service provider so that students aren’t just coming in for their textbooks at the start of the semester,” said Fred Piccirilli, senior director for Cornell Retail Services. “We want them popping into the store regularly, even if they have no intention of shopping.”

Solutions Unfit for Omnichannel Retail

As Cornell Retail Services evolved, its technology struggled to keep up. The retailer used a dated on-premise system developed specifically for campus stores to manage financials, inventory, textbooks, point of sale and order fulfillment. Its ecommerce site ran on a separate platform that was not fully integrated.

“The prior system handled the traditional textbook component adequately,” Cave said. “But where we were seeing the largest growth – in ecommerce and general merchandise – it didn’t have the tools that we needed to help foster growth and develop strategy.

“We also needed a solution that would help us manage new complexities within the academic materials business like rental textbooks and e-books, multiple digital delivery options and price comparison.”

Building reports in the system required manual programming, so only a few people could create them. Once reports were built, they quickly became obsolete because the data was static. In addition, users had no ability to analyze information within the system. Those limitations led many employees to regularly work outside of the solution to manage financials, buying and marketing.

The data was also not always accurate because the lack of data visualization made it challenging to identify and fix errors across existing platforms. Cornell Retail Services knew it needed to implement a new business management solution to become a data-driven business.

Providing Much-Needed Visibility

After researching leading ERP systems for national retailers and campus stores, Cornell Retail Services created a 750-question request for proposal (RFP) that placed greater weight on core business needs and submitted it to 10 vendors. It scored each response and eventually chose NetSuite because it earned the highest score and followed with an in-depth presentation in Ithaca.

Cornell Retail Services implemented NetSuite’s campus store bundle in July 2018, bringing together every aspect of the business on a single platform, including in-store sales, ecommerce, fulfillment and back-office operations. That gives the company tremendous visibility into its business, in real time.

“We can easily drill down to the exact items we’re selling in a day, which allows us to have a real-time response to trends that are happening,” Cave said. “If a product is set up in a certain way and it’s not performing, we can see that hour by hour, day by day and make adjustments in real time.”

A staffer can now see when an item sells out at the main store, check for inventory at the warehouse and do an immediate transfer to minimize the time that item is out of stock. When the warehouse receives backordered textbooks, the system pulls up any existing in-store pickup orders including that book and routes them straight to an order picker at the store. Previously, those books were just put on the sales floor and an employee picked them from there.

Warehouse employees also receive instant notifications for orders with expedited shipping so they can prioritize them.

As the same time, Cornell Retail Services moved its ecommerce site to SuiteCommerce Advanced (SCA) to create a better online shopping experience that could bolster its fast-growing online business. The new site is comparable to those of leading retailers, enhancing services to students, faculty and staff. It also allows them to log in with their single sign-on university credentials and offers additional tender types based on eligibility.

“Our ecommerce site has a modern feel and we’re able to customize it more,” said Casey Rotach, ecommerce manager for Cornell Retail Services. “The customer experience has greatly improved and we’ve begun to see an increase in online sales. We are continuing to enhance SCA to take full advantage of its robust functionality.”

The final piece of the store’s omnichannel suite is NetSuite Point of Sale (POS) for in-store transactions. It replaced an antiquated POS system that had a primitive user interface foreign to Cornell Retail Services’ young employees.

“The student workers are just used to modern technology and they would log in to this thing and they’d never even seen screens like that,” Cave said. “Training was intensive. Now, anyone can handle a basic transaction with very little training.”

Touchscreen desktops and tablets that expedite training are a game-changer for Cornell Retail Services because it employs 75-100 temporary workers for its busiest periods.

Becoming the Best Campus Retailer

 Cornell Retail Services’ NetSuite implementation earned it the university president’s ONE Cornell Award for employee excellence, which recognizes a team that solves a problem that positively impacts the university and local community. The award highlighted the dedication of employees, open-mindedness of management and complete reimagination of the business to enhance the level of service provided to the Cornell community.

The retailer is still continuously tweaking its operations to drive higher margins and efficiency, with the ultimate goal of becoming the country’s leading campus retailer. While that’s a subjective title, to Cornell Retail Services it means fulfilling the university’s objectives for the store – including generating revenue – and offering customers exceptional experiences while continuing to grow.

Put simply, Cornell Retail Services wants to be a shining representation of a world-renowned university.

“Cornell’s very unique in the sense that it has a global presence – we’re an Ivy League institution that’s known all over the world and our customers come from all over the world,” Piccirilli said. “People don’t know that Cornell Retail Services is any different than Cornell, and they think of Cornell as a top-tier institution. We want their shopping experience to meet that expectation as well.”

Learn more about NetSuite’s software for campus stores.

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Is Your Distribution Business Differentiating Itself in the Age of Amazon?

November 22, 2018   NetSuite
gettyimages 1008939110 Is Your Distribution Business Differentiating Itself in the Age of Amazon?

Posted by Ranga Bodla, Head of Industry Marketing

Amazon Business has put a huge stake in the ground across many B2B distribution sectors. It’s time for B2B distributors to sharpen their pencils and differentiate themselves, or risk being left behind. 

Ever since Amazon launched its Prime service in 2005, members have been shelling out an annual fee (currently $ 119) in exchange for free two-day shipping within the continuous U.S., among other benefits. Since then, Amazon has accumulated more than 100 million paid Prime members.

Now, the online retailer’s business buyers will get the same benefits—and then some.

In October, Amazon Business launched new Business Prime benefits for companies in the U.S., Germany and Japan. Business Prime membership costs $ 179 per year for up to three users; $ 499 per year for up to 10 users; $ 1,299 per year for up to 100 users; and $ 10,099 per year for over 100 users.

Along with perks like spend data visualization tools and help identifying potential cost-savings opportunities, members now get same-day delivery or free one-day shipping on qualifying orders of $ 35 or more.

It’s Time to Act 

As Amazon rapidly accelerates its delivery of functionality and benefits for business buyers, distributors across most industry sectors are being forced to think about what this means for them.

Right now, within the industrial segment alone, Amazon Business is selling fasteners, hydraulics, pneumatics, plumbing, industrial electrical, material handling products, metalworking and power transmission products (among others).

Adding Business Prime to the mix could make things a bit more challenging for companies trying to face off with the etail giant on the B2B front.

“From our vantage point, these latest additions to the Business Prime program demonstrate just how fast this $ 10 billion distributor can learn and grow,” Thomas Gale writes in Amazon Business Prime News: One Million Same-Day SKUs and New Benefits.

“The company is leveraging its unsurpassed cash management practices to enable much more flexible payment terms,” Gale continues. “Amazon Business is leveraging its enormous DC [Distribution Center] network to create a same-day assortment that surpasses any rival, thereby offsetting part of the advantage branch-based distributors have used as a differentiator.”

This may be so, but what Amazon Business lacks is the product and application expertise that the typical independent distributor has spent years (or even decades) building out.

With most of its business managed through its website, for example, neither Amazon Business nor its customer service reps are equipped to answer questions like: “Which specialized abrasive wheel is best for this particular application that I’m working on?” or “What type of wire can be run inside this conduit that I’m ordering?” This is where distributors have a chance to differentiate themselves in a way Amazon cannot.

If nothing else, Amazon’s latest move only reinforces the fact that distributors need to get their collective ecommerce acts together. Those firms still using first-generation websites—or, those that use their sites as nothing more than a calling card—for example, will quickly be left behind if they don’t establish (or improve) their online presence. By combining commerce and enterprise resource planning (ERP) on a single platform, for example, distributors can streamline their front- and back-end sales operations while creating an effective, cohesive online presence.

Stepping up Value-Added Offerings

Distributors can also start sharpening their “valued-added” pencils by promoting the service, support and add-ons that make their customers’ lives easier. Customers typically need these services on a daily basis—services like vendor managed inventory (VMI), kitting and assembly, warehousing and storage (for contractors that have limited space on the jobsite, for example), and even light manufacturing.

Long-term relationships, a local presence and a well-stocked warehouse that customers know is close by can also help distributors avoid getting into a price war with Amazon Business, or any other online seller, for that matter.

By leveraging what they know best, and by continuing to differentiate themselves on as many levels as possible, B2B distributors can maintain and even grow market share in today’s ecommerce-centric business world.

The Bottom Line

Every successful distributor knows that simply selling a commodity product at a lower price is a failing strategy, yet that’s exactly what many of them are choosing to do in the Amazon Business era.

It’s time to buck the trend by giving your customers something that they can’t get on Amazon. Solve their most pressing pain points, help them do their jobs better, provide a superior level of product expertise, offer outstanding customer service, and always go the extra mile—even if it means making 5 a.m. deliveries to the jobsite on next-day orders.

Learn more about Amazon’s Impact.

Posted on Wed, November 21, 2018
by NetSuite filed under

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France leads effort to save internet from itself with ‘Paris Call’ and Facebook embed

November 13, 2018   Big Data
 France leads effort to save internet from itself with ‘Paris Call’ and Facebook embed

As the geopolitical picture continues to churn with uncertainty, France is making a strong and surprising bid to assume a central leadership role in fixing the hot mess otherwise known as the internet.

Following a weekend-long tribute to the 100th anniversary of the end of World War I that drew global leaders to Paris, French President Emmanuel Macron made two major announcements that underscored his administration’s drive to address the long list of problems that have put a cloud over the internet’s impact on modern life.

The first came at the UNESCO Internet Governance Forum (IGF) on Monday in Paris, where Macron launched the “Paris Call for Trust and Security in Cyberspace.”

The goal is to create a framework for regulating the internet and fighting back against cyber attacks, online censorship and hate speech. The more than 370 signatories included 51 governments, though notably absent were the U.S., China and Russia. It’s also backed by tech giants such as Microsoft, Google, Facebook, Intel, Ericsson, Samsung, Accenture, Fujitsu, SAP, Salesforce and Hitachi.

Applauding Macron’s leadership, Microsoft president wrote in a blog post:

“The Paris Call is an important step on the path toward digital peace, creating a stronger foundation for progress ahead. It calls for strong commitments in support of clear principles and strong norms to protect citizens and civilian infrastructure from systemic or indiscriminate cyberattacks. Similarly, it calls for governments, tech companies and nongovernmental organizations (NGOs) to work together to protect our democracies and electoral processes from nation-state cyberthreats.”

Meanwhile, Macron also announced that Facebook had agreed to allow French regulators to “embed” in the company for six months to monitor and understand its efforts to fight online hate speech and other suspicious content.

“It’s a first,” Macron told the annual Internet Governance Forum in Paris, according to Reuters. “I’m delighted by this very innovative experimental approach. It’s an experiment, but a very important first step in my view.”

The move is also one of the first major moves since Nick Clegg, the U.K.’s former deputy prime minister, became Facebook’s new vice president for global affairs.

“The best way to ensure that any regulation is smart and works for people is by governments, regulators and businesses working together to learn from each other and explore ideas,” Clegg said in a statement given to reporters.

These initiatives were just a part of a frenzied few days of action related to the internet’s future in Paris. In addition to the IGF, The Paris Peace Forum held its inaugural event over three days. And on Monday, Paris hosted the Govtech Summit, an effort to “reimagine services that place citizens at the centre of public delivery, where public servants have an array of technology-enabled resources and information at their fingertips, and can use new ways of delivering better, more efficient, more citizen-focused services.”

Attendees at the summit included Canadian Prime Minister Justin Trudeau, U.K. Health Secretary Matthew Hancock, and was organized in part by former adviser to U.K. prime minister David Cameron. The gathering prompted Politico to muse: “Brexit is distracting the U.K. from a much-touted effort to digitize government — and France is only too happy to take advantage of the situation.”

These latest efforts come as France continues to press other European Union members to adopt a tax on tech giants to attempt to level the playing field for smaller startups a and traditional businesses.

Put together, the last few days underscore the remarkable rise in France’s international profile. Diplomatically speaking, the country seemed like an afterthought in many ways just a few years ago. But the election of President Macron 1.5 year ago, plus the void left by the America-firstism of President Donald Trump, created a new opening for France to try to regain a spot on the globe’s center stage.

As some look for an alternative to at the authoritarianism of China and Russia, and the populism sweeping much of Europe and the U.S., Macron has been happy to try to fill a void. Whether his calls for cooperation and globalism will have an impact, however, remain to be seen. But at least for now, France has again found itself enjoying a new relevance on the global stage.

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How one company learned to reinvent itself daily in the AI age

October 12, 2017   Big Data
 How one company learned to reinvent itself daily in the AI age

Online life insurance agency Haven Life announced an upgrade to its service earlier this week that could let you buy a life insurance policy in just a few minutes after answering about 30 questions — possibly with no medical checkup. That speed of underwriting is made possible by artificial intelligence the two-year-old company has built into its offering.

The company is one example of a new breed of fast-moving businesses built atop AI. It’s difficult to get a good idea of the types of machine learning these companies are building into their products, as they’re giving very little away at this stage. But they’re constantly iterating: testing out new machine-run decision-making processes and then migrating the next part of their business over to those systems once they prove secure.

Haven Life’s upgrade this week is a good example of that kind of iteration. A young, healthy applicant can now get a final decision within about five minutes, no medical or labs required, and buy a policy on the spot. But the company’s underwriting process still isn’t fully automated for all applicants. More complicated cases still need to be looked at by a human underwriter behind the scenes and may require a medical exam. “We’re continuing to lower that percentage [of humans in the loop]” by reassessing the data and rules the service’s AI relies on, CTO Todd Rodgers told VentureBeat.

While fully owned by traditonal life insurance company MassMutual, Haven Life is very much living on the frontier of machine learning. It’s a life of constant rethinking and adaptation, and it requires a new way of conducting business, where the speed of AI advancements dictate the speed of business decisions. “You have to have an appetite for iteration” to succeed with this type of business, Rodgers said. “Going into development with the understanding you’ll never be done is critical.”

And it takes a certain kind of team. “To pull this off, you need people with deep, deep subject matter expertise, you need developers who are interested in the business problem they’re solving, and you need analysts who can intermediate between the two, who can explain an objective in a way that developers know how to codify it,” said Rodgers. He said Haven Life has been lucky to have subject matter experts who are close enough to the data and code that they don’t need the intermediaries. “You also need to be colocated,” Rodgers said, “since you’ll be working together day in day out” on a project that is never finished.

When the company first launched in 2015, it started to pull in third-party data, such as prescription histories, motor vehicle records, and information from the Medical Information Bureau, to assess appropriate life insurance quotes. That didn’t make the company unique. This is data that’s commonly used across the industry, Rodgers said. Where Haven Life innovated was in gradually restructuring that data so that it could be sorted in a highly structured way, allowing the company to run increasingly sophisticated rules and algorithms against it. The more patterns the company has been able to surface in the data, the more rules it has been able to feed to its AI.

With the new update the company announced this week, it is finally cutting over to using the AI output as the primary determining factor for the policy rate. “Before now we’ve always run the algorithm in parallel with a human looking at this too,” said Rodgers. He underscored, though, that human underwriters are still involved in some percentage of cases.

There are seven prescription drugs the company has been able to develop advanced rules for to date. “Each drug takes a lot of analysis. We’d like to expand that out to a larger number of drugs, since each one we add means one more case that we can immediately underwrite [without human involvement],” said Rodgers.

“We’ve gotten to the point where we can ask follow-up questions while the client is still online in the application process based on prescription drug data we’re pulling in in real time,” said Rodgers. “As clients are answering questions, we realize what new information we need and we refine our questions accordingly.” The goal is to optimize on the amount of information the company can glean with just 30 questions.

Haven Life has built its AI in-house over a two-year process of looking at data, consulting with MassMutual’s doctors and its own team of actuaries, and building out rules. It also had the benefit of MassMutual’s data science team and the parent company’s historical data — some 1 million policies going back about 15 years.

When asked why the company hasn’t leveraged any third-party AI tools, Rodgers said, “There are tools you can use. What we’re doing, though, is pretty innovative, so there’s nothing on the market that does exactly what we’re doing. We’re very focused on the ability to be agile and flexible, and a lot of that ability is due to the fact that we’ve built from scratch.”

The reasons ready-built products are something not a good fit? “If you work with a third-party product, I think you’d probably be guided by that product’s view of the world, and it could narrow down your focus,” he said.

Rodgers offered the following advice to other companies deploying advanced machine learning: “If there’s a tool out there that works for you, great. But if not, don’t contort a tool that wasn’t meant for you. And don’t be afraid to build from scratch.”

Haven Life’s dev team, by the way, makes up about 60 of the company’s 110 employees.

We’ve asked Todd Rodgers to facilitate a panel at our VBSummit later this month to dig into the technical challenges of rolling out AI.

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“The Trump Administration Has Started Employing Chekist-Style Disinformation To Protect Itself”

August 4, 2017   Humor

murdoch trump “The Trump Administration Has Started Employing Chekist Style Disinformation To Protect Itself”

You could ask why the Murdoch family would doing something as crazy as allowing Fox News to become the de facto state-sponsored propaganda outlet for Trump, akin to what RT is for Putin, but this is the same clan that kept Roger Ailes in control of the cable channel as he continually attempted to use its green rooms as his own personal Plato’s Retreat. Much like the President himself, the Murdochs have been operating so dishonestly for so long, the pointer on their moral compass may be permanently broken.

In a legal sense, however, these recent machinations are a step beyond other predations they’ve enabled and lies they’ve aired in the past. If Robert Mueller’s investigation proves that not only did Sean Hannity and others at Fox collaborate with the White House on the ugly Seth Rich fan fiction but the company also coordinated stories with Russian agents to benefit Trump and the Kremlin, there will be hell to pay and no out-of-court settlements will do.

One way or another, the Trump gambit will end ruinously for Robert, James and Lachlan, unless the orange supremacist manages to end U.S. democracy and become the nation’s first authoritarian ruler. Seriously, that’s the best-case scenario for them! 

· · ·

From a John R. Schindler Observer column:

The Trump administration has started employing Chekist-style disinformation to protect itself from the increasingly serious KremlinGate investigation. An unpleasantly illustrative case that has just come to light is that of Seth Rich, a 27-year-old Democratic National Committee staffer who was murdered in Washington, D.C. in July 2016. His killing remains unsolved; there has never been any reason to think it was anything more than a tragic, random late-night shooting of the kind that happens in our nation’s capital more often than it should.

Nevertheless, for nearly a year, pro-Trump mouthpieces have parroted a fact-free conspiracy theory that Rich—not Russia’s intelligence services—was the “real” source of the purloined DNC emails that were disseminated in the summer of 2016 by Wikileaks, to Hillary Clinton’s detriment. Julian Assange has repeatedly hinted that Rich was his source and that the young man was assassinated by a vengeful Clintonian hit-team, without offering any evidence.

Which he can’t, because there isn’t any. This is just another absurd lie broadcast by a well-known Kremlin front, albeit a particularly nasty one that has tortured the grieving young man’s family. The story doesn’t end there, however. Fox News, too, gleefully parroted Assange’s lie. Here a preeminent role was played by Sean Hannity, a Fox News star plus a friend of Assange’s, who in mid-May broadcast fact-free assertions about Seth Rich and his alleged role in leaking DNC emails.

Rich’s enraged family denounced Hannity and threatened legal action, leading Fox News to take the rare step of retracting Hannity’s fabricated “bombshell” story. Yet the damage was done, and this became yet another case of Kremlin-backed disinformation transforming into a pro-Trump trope on the right-wing, despite there being zero evidence for its veracity. It should be noted that Moscow played a direct role in creating and spreading this noxious Rich mythology. Sputnik, the Kremlin propaganda website, actually cashiered one of its American reporters when he refused to go along with an obvious lie about the murdered young man.

It now turns out that Fox News, too, was complicit in spreading lies about Seth Rich to aid the White House. As reported by NPR, a lawsuit filed by Rod Wheeler, a former cop and sometime Fox News contributor, against the right-wing media giant, alleges that the network consciously spread lies about Seth Rich to help the president deflect attention from the Russia scandal—and that the White House was directly involved in this conspiracy to deceive the public.•

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“Current Laws Never Envisioned A Vehicle That Can Drive Itself”

August 24, 2015   Humor

driverlessbean “Current Laws Never Envisioned A Vehicle That Can Drive Itself”

In what’s an otherwise very good Fast Company article about autonomous cars, Charlie Sorrel conveniently elides one really important fact: not all the kinks have yet been worked out of the driverless experience. While Google has done extensive testing on the vehicles, inclement weather still causes them problems and visual-recognition systems need further enhancement. So, yes, legislation and entrenched human behaviors are significant barriers to be overcome, but the machines themselves continue to need fine-tuning.

Still, it’s an interesting article, especially the section about the nature of future cities that await us should we perfect and accept this new normal. An excerpt:

Famously, Google’s self-driving cars have clocked up 1.7 million miles over six years, all without major incident.

“In more than a million miles of real-world testing, autonomous vehicles have been involved in around a dozen crashes (with no major injuries),” says John Nielsen, AAA’s Managing Director of Automotive Engineering and Repair, “all of which occurred when a human driver was in control, or the vehicle was struck by another car.”

Self-driving cars are already way better than people-piloted cars, so what’s the trouble?

“Current laws never envisioned a vehicle that can drive itself, and there are numerous liability issues that need to be ironed out,” Nielsen says. “If an autonomous vehicle gets in a collision, who is responsible? The “driver,” their insurance company, the automaker that built the vehicle, or the third-party supplier that provided the autonomous control systems?”

How will the laws adapt? And how will we adapt? People are hesitant to embrace change, but the change that driverless cars will bring to our cities and lifestyles is enormous. What will it take to get there?•

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Predictive intelligence platform AgilOne turns itself into a ‘predictive marketing cloud’

January 21, 2015   Big Data

Established marketing clouds like Oracle and Salesforce have recently been making big moves to boost their data chops. Oracle, for instance, scooped up Datalogix, and Salesforce set up its Wave analytics cloud.

Today, predictive marketing platform AgilOne is going the other way.

The company had been offering a data management platform for integration with tools that can use its customer intelligence. Now, the new version 5 of the platform has added its own tools and become a marketing cloud.

“We were the brains behind marketers,” CEO and founder Omer Artun told VentureBeat. As a data gathering, analytical, audience segmentation, and prediction platform, he said, “we didn’t do execution,” but required integration with third-party tools for that.

But now it is doing execution.

The new, custom-built tools enable email and Facebook campaigns, Web personalization, and direct mail campaigns via snail mail. The new version also boosts the platform’s API capabilities so it can be integrated into call centers and point-of-sale systems, and it ups the capture capabilities so the platform can collect data from mobile apps.

logo placeholder Predictive intelligence platform AgilOne turns itself into a ‘predictive marketing cloud’

“This brings us up to par with the likes of Adobe and Salesforce,” Artun contended. “This turns us from a predictive marketing [data management platform] into a predictive marketing cloud.”

Predictive capabilities can, for instance, help a marketer determine the likelihood that a given online customer will make a purchase. Web personalization allows sites to make product recommendations based on the customer’s preferences and available items.

Artun said that AgilOne has a data management advantage against those established and larger marketing clouds, in that “none of them have remotely what we have.”


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“All of these execution platforms were becoming a commodity,” he said, and they started to add data capabilities to distinguish themselves.

But “Salesforce is missing [built-in] data management and predictive [capabilities],” he said. “Adobe doesn’t have any data management capability,” and, while it is “strong on web analytics, it’s not as robust in customer intelligence.”

The drivers for AgilOne’s move, he said, included the fact that marketers were looking for real-time solutions, and “it’s hard to do execution in real-time with two parties’ [products].” Additionally, AgilOne found that external web tools “didn’t allow personalization as tightly as we wanted.”

Most importantly, AgilOne targets mid-market businesses — and “they aren’t going to buy 17 different tools and try to integrate them together,” Artun said.

Although it is now relatively self-contained, AgilOne intends to continue offering integration with some outside tools. These, Artun told us, include Adobe and Salesforce’s clouds, and “only the biggest web personalization and email campaign [tools].”

“We want to be the hub that connects everything together,” he said.

More information:

AgilOne is a cloud-based predictive intelligence application for marketers. Based on a data-scientist approach to marketing, AgilOne processes exploding volumes of customer data and recommends what immediate actions to take to increase… read more »

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