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AI/ML
2 hours ago | Venture Beat
LinkedIn’s Top Startups of 2021 spotlights the enterprise data stack
Startups are capitalizing on the growing gaps across enterprise data stacks as the stresses of keeping customers loyal, keeping infrastructure secure, and keeping virtual teams collaborative force rapid change throughout the industry. Sixty percent of LinkedIn’s Top Startups of 2021 see enterprises as the key to the future.Four of the top 10 startups of 2021 focus on improving the future of enterprise work, including Gong (No. 2), Attentive (No. 7), Outreach (No. 9), and MikMak (No. 10). Startups concentrating on improving the way enterprises work include GitLab (No. 20); Scale AI (No. 29); task management platform ClickUp (No. 42); email platform provider Superhuman (No. 44); and SaaS startup Innovaccer (No. 46), who is creating unified health care data. LinkedIn says nearly all honorees are hiring now, and more than half of the available jobs are for remote roles. Among the top 50 startups, Attentive is a pacesetter in remote hiring. Throughout the past 18 months, its remote-first team has grown 375% from 200 employees to more than 950.
5 hours ago | Venture Beat
The state of MLOps in 2021 is dominated by startups
Enterprises’ urgent need is for startups to help solve getting more machine learning (ML) models into production. That’s because 87% of data science projects never make it into production. Algorithmia’s 2021 enterprise trends in machine learning of 750 business decision-makers found 22% say it takes between one and three months to deploy an ML model into production before it can deliver business value. Furthermore, 18% say it takes over three months to get a model into production. Delays getting ML models into production are symptoms of larger, more complex problems, including lack of production-ready data, integrated development environments, and more consistent model management. According to IDC, 28% of all AI and machine learning projects fail because of these factors. Closing the gaps in MLOps and across the entire model lifecycle process creates a lucrative new market opportunity for startups, valued at $4 billion by 2025. According to Dr. Ori Cohen’s research, there’s been $3.8 billion in funding already.
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8 hours ago | Venture Beat
Google Cloud research credits expand to nonprofits
Google today announced that Google Cloud research credits, which give researchers access to computing resources via Google Cloud, is expanding to researchers at nonprofit institutions. Previously, only researchers at government and academic research institutions were eligible, limiting the scope of work that could be managed and analyzed using Google Cloud services.“This initiative is part of our ongoing efforts to make the advantages of cloud research available to more people everywhere — and to drive more discoveries faster,” Google senior program manager for academic research Eleazar Ortiz wrote in a blog post. “We know that the researchers of the future need the best resources now.”
9 hours ago | AI News
The new space race: A breeding ground for great innovation?
The new space race is grabbing headlines and driving public interest in the potential of ‘extraterrestrial’ exploration. For tech innovators, it opens the doors to a world of exciting new possibilities. It has brought in a fast-moving, ‘Silicon Valley’ type innovative paradigm to a sector that was previously the government’s domain.  Closer to home, the... Read more » The post The new space race: A breeding ground for great innovation? appeared first on AI News.
11 hours ago | Venture Beat
The low-code ‘tipping point’ is here
Half of business technologists now produce capabilities for users beyond their own department or enterprise. That’s the top finding in a new report from Gartner, which cites “a dramatic growth” in digitalization opportunities and lower barriers to entry, including low-code tools and AI-assisted development, as the core factors enabling this democratization beyond IT professionals. What’s more, Gartner reports that 77% of business technologists — defined as employees who report outside of IT departments and create technology or analytics capabilities — routinely use a combination of automation, integration, application development, or data science and AI tools in their daily work.“This trend has been unfolding for many years, but we’re now seeing a tipping point in which technology management has become a business competency,” Raf Gelders, research vice president at Gartner, told VentureBeat. “Whether all employees will soon be technical employees remains to be seen. Do your best sales reps need to build new digital capabilities? Probably not. Do you want business technologists in sales operations? Probably yes.”
13 hours ago | Venture Beat
Osano, a data compliance platform, raises $11M
Osano, a data privacy platform that helps websites become compliant with international regulations, today announced that it closed a $11 million funding round led by Jump Capital, bringing its total raised to $22.3 million. The company says that the money will be used to support international expansion as well as hire additional sales, marketing, and engineering staff.Compliance remains a major challenge for enterprises. Businesses in the U.S. on average spent $10,000 per employee on regulatory costs, according to a report from the Competitive Enterprise Institute. Moreover, one whitepaper found that spending on incident response has almost doubled since 2011 as organizations aim to combat a record number of data breaches.
14 hours ago | Venture Beat
Plus’s Level 4 autonomous trucking technology speeds transition to sustainable commercial transport
This article is part of a VB Lab Insight series paid for by Plus.“Sustainable transportation is good for business and for humankind.”Shawn Kerrigan, the COO and co-founder of autonomous truck developer Plus, will not mince words when talking about the environmental benefits of autonomous trucking. He and the rest of the team at Plus see a “safer, more sustainable future through autonomous trucking.”And it’s gaining traction at the right time. Fueled by health and environmental concerns, policy makers are cracking down on pollutants emitted by medium- and heavy-duty commercial vehicles. Shippers too, are looking to integrate more efficient vehicles into their fleets, with the goal of cutting fuel costs and meeting increasingly stringent sustainability demands from consumers, investors, and regulators.
16 hours ago | AI News
British court disagrees with Australia, rules that AIs cannot be patent inventors
The UK and Australia may have made a historic pact last week, but one thing they can’t agree on is whether AIs can be patent inventors. AIs are increasingly being used to come up with new ideas and there’s an argument they should therefore be listed as the inventor by patent agencies. However, opponents say... Read more » The post British court disagrees with Australia, rules that AIs cannot be patent inventors appeared first on AI News.
Sep 21, 2021 | Venture Beat
Workflow automation startup Daylight lands $12.3M
Toronto, California-based Daylight, formerly FormHero, today announced it has raised $12.3 million in a series A round led by RTP Global, Bessemer Venture Partners, and Golden Ventures, with participation from Golden Ventures. The company says the funds, which bring its total raised to $14.56 million, will be used to support go-to-market activities and expand the capabilities of its automation platform.A growing number of businesses are investing in tech-powered solutions to minimize repetitive office processes. In a 2020 McKinsey survey, 66% of enterprises said they were piloting platforms to automate at least one business process. And in a survey conducted by ServiceNow, 86% of respondents said that by 2020 their organizations would require intelligent automation to keep up with business requirements.
Sep 21, 2021 | Venture Beat
Project44 acquires last-mile delivery startup Convey for $255M
Project44, a Chicago, Illinois-based supply chain visibility solutions provider, today announced that it acquired last-mile delivery startup Convey for $255 million. Together, Project44 says that it and Convey will serve the global supply chain end-to-end, offering insights to help brands deliver new direct-to-consumer and ecommerce experiences.Once a back-office process, supply chain management is now recognized as one of the most critical business functions in the enterprise. According to a recent Gallup poll, 60% of U.S. adults say that they’ve been unable to get a product they wanted in the past two months because of shortages. Thirty-five percent of companies told Statista that delays in cross-border transportation during the pandemic had an impact on their business, and 52% said that hiring and retaining qualified supply chain workers was proving extremely or very challenging.
Sep 21, 2021 | Venture Beat
Computer vision-powered workplace safety systems could lead to bias and other harms
Increasingly, AI is being pitched as a way to prevent the estimated over 340 million workplace accidents that occur worldwide every day. Using machine learning, startups are analyzing camera feeds from industrial and manufacturing facilities to spot unsafe behaviors, alerting managers when employees make a dangerous mistake.But while marketing materials breathlessly highlight their life-saving potential, the technologies threaten to violate the privacy of workers who aren’t aware their movements are being analyzed. Companies may disclose to staff that they’re subjected to video surveillance in the workplace, but it’s unclear whether those deploying — or providing — AI-powered health and safety platforms are fully transparent about the tools’ capabilities.
Sep 21, 2021 | Venture Beat
Enterprise NLP budgets are up 10% in 2021
Enterprises are increasing their investments in natural language processing (NLP), the subfield of linguistics, computer science, and AI concerned with how algorithms analyze large amounts of language data. According to a new survey from John Snow Labs and Gradient Flow, 60% of tech leaders indicated that their NLP budgets grew by at least 10% compared to 2020, while a third — 33% — said that their spending climbed by more than 30%.The goal of NLP is to develop models capable of “understanding” the contents of documents to extract information as well as categorize the documents themselves. Over the past decades, NLP has become a key tool in industries like health care and financial services, where it’s used to process patents, derive insights from scientific papers, recommend news articles, and more.
Sep 21, 2021 | Venture Beat
App observability platform DeepFactor raises $15M
DeepFactor, a code observability startup based in San Jose, California, today announced that it raised $15 million in series A financing led by Insight Partners with participation from Emergent Ventures, Security Leadership Capital, and Tricentis. The funding brings the company’s total raised to $18.4 million to date, and it’ll be put toward supporting existing product development and the launch of a software-as-a-service offering, according to cofounder and CEO Kiran Kamity.With the push for digital transformation and the subsequent adoption of cloud-native architectures, companies are releasing software apps faster with greater complexity — and correspondingly more areas to attack. The result is an increase in supply chain, security, and compliance risks. Security teams are struggling to keep pace, requiring help from engineers before shipping apps into production.
Sep 21, 2021 | Venture Beat
Software supply chain management company Cloudsmith raises $15M
Belfast, Northern Ireland-based software supply chain management startup Cloudsmith today announced that it closed a $15 million series A funding round led by Tiger Global, with participation from Shasta, Amaranthine, Sorenson, Leadout Capital, Frontline, MMC, and Techstart. The infusion brings the company’s total raised to over $17 million and will be used to expand Cloudsmith’s workforce from 17 employees to 60 in the next year, particularly its U.S.-based sales and data engineering teams.Cloudsmith cofounders Alan Carson and Lee Skillen met 12 years ago while working for the New York Stock Exchange. They started a software business together in 2012 and built the platform that became Cloudsmith to address the package management and software distribution challenges that they encountered at that first startup.
Sep 21, 2021 | Venture Beat
EvoWalk stimulates nerves to help muscle-impaired people walk
Health startup Evolution Devices has created an AI-based platform called EvoWalk that stimulates nerves to help muscle-impaired people walk again.The platform blends remote physical therapy with connected smart stimulation devices to help people such as cerebral palsy patients or stroke victims to rehabilitate and start walking again.The company is launching a pilot program today to rehabilitate people living with neurologically based partial walking paralysis. It is also raising funds via a crowdfunding program.Pierluigi Mantovani, CEO of Evolution Devices, said in an interview with VentureBeat that he started working on the platform in 2017 as part of an effort to help his father deal with the effects of multiple sclerosis.
Sep 20, 2021 | Venture Beat
Falsehoods more likely with large language models
There’s growing interest in using AI language models to generate text for business applications. Large companies are deploying their own systems while others are leveraging models like OpenAI’s GPT-3 via APIs. According to OpenAI, GPT-3 is now being used in over 300 apps by thousands of developers, producing an average of more than 4.5 billion novel words per day.But while recent language models are impressively fluent, they have a tendency to write falsehoods ranging from factual inaccuracies to potentially harmful disinformation. To quantify the risks associated with “deceptive” models, researchers at the University of Oxford and OpenAI created a dataset called TruthfulQA that contains questions some humans might answer incorrectly due to false beliefs or misconceptions. The researchers found that while the best-performing model was truthful on 58% of questions, it fell short of human performance at 94%.
Sep 20, 2021 | AI News
National Robotarium pioneers AI and telepresence robotic tech for remote health consultations
The National Robotarium, hosted by Heriot-Watt University in Edinburgh, has unveiled an AI-powered telepresence robotic solution for remote health consultations. Using the solution, health practitioners would be able to assess a person’s physical and cognitive health from anywhere in the world. Patients could access specialists no matter whether they’re based in the UK, India, the... Read more » The post National Robotarium pioneers AI and telepresence robotic tech for remote health consultations appeared first on AI News.
Sep 20, 2021 | Venture Beat
AI-powered disinformation detection platform Blackbird nabs $10M
Blackbird.AI, an AI-powered platform designed to combat disinformation, today announced that it closed a $10 million series A funding round led by Dorilton Ventures with participation from NetX, Generation Ventures, Trousdale Ventures, StartFast Ventures, and individual angel investors. The proceeds, which bring the company’s total raised to $11.87 million, will be used to support ramp-ups in hiring and product lines and launch new features and capabilities for corporate and national security customers, according to cofounder and CEO Wasim Khaled.The cost of disinformation and digital manipulation threats to organizations and governments is estimated to be $78 billion annually, the University of Baltimore and Cheq Cybersecurity found in a report. The same study identified more than 70 countries that are believed to have used online platforms to spread disinformation in 2020, an increase of 150% from 2017.
Sep 20, 2021 | Venture Beat
AI could help companies keep up with app boom
Organizations leveraging traditional software testing tools often fail to scale to the needs of today’s digital demands. That’s the top-level finding of a new report published by EMA Research and Applitools, which examined the impact of AI and automated software testing on large enterprises. Respondents cited escalating quality control costs and release velocities as the top factors hindering engineering and DevOps efforts, as well as the increasing number of target devices, operating systems, and app programming languages.“Business’ ability to accelerate the delivery of customer value through software innovation, at lower cost, has become critical for achieving competitive advantages,” Enterprise Management Associates managing research director Torsten Volk said in a statement.
Sep 20, 2021 | Venture Beat
AI-powered supply chain visibility platform Altana nabs $15M
Altana AI, a startup building a database for global supply chain networks, today announced that it raised $15 million in a series A funding round led by GV with participation from Floating Point, Ridgeline Partners, Amadeus Capital Partners, and Schematic Ventures. The proceeds, which bring the company’s total raised to $22 million to date, will be used to further develop Altana’s data and AI systems and launch new machine learning and network analysis tools, according to CEO Evan Smith.Trade wars, the rise of ecommerce, pandemic supply chain shocks, and sustainability concerns are driving fundamental changes to supply chain networks and global trade flows. Nearly 75% of companies report supply chain disruptions in some capacity due to pandemic-related transportation restrictions. And in a recent IBM survey, 40% of executives stressed the need for spare capacity to weather future crises.
Sep 20, 2021 | Venture Beat
Improved algorithms may be more important for AI performance than faster hardware
When it comes to AI, algorithmic innovations are substantially more important than hardware — at least where the problems involve billions to trillions of data points. That’s the conclusion of a team of scientists at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), who conducted what they claim is the first study on how fast algorithms are improving across a broad range of examples.Algorithms tell software how to make sense of text, visual, and audio data so that they can, in turn, draw inferences from it. For example, OpenAI’s GPT-3 was trained on webpages, ebooks, and other documents to learn how to write papers in a humanlike way. The more efficient the algorithm, the less work the software has to do. And as algorithms are enhanced, less computing power should be needed — in theory. But this isn’t settled science. AI research and infrastructure startups like OpenAI and Cerberus are betting that algorithms will have to increase in size substantially to reach higher levels of sophistication.
Sep 19, 2021 | Venture Beat
Boston Dynamics’ Spot robot is securing its position in a niche market
Boston Dynamics has just released the latest update for its famous quadruped robot Spot, giving it better capability to make inspections and collect data without the need for human intervention.Called Spot Release 3.0, the new update adds “flexible autonomy and repeatable data capture, making Spot the data collection solution you need to make inspection rounds safer and more efficient.”Unlike many other Boston Dynamics announcements, this one is not accompanied by a flashy video. But it could have a huge impact on Spot’s position in the industrial mobile robot market, where it can reduce the costs of IoT instrumentation and the risks of exposing human operators to environmental hazards.
Sep 19, 2021 | Machine Learning Mastery
The Attention Mechanism from Scratch
The attention mechanism was introduced to improve the performance of the encoder-decoder model for machine translation. The idea behind the […]
Sep 19, 2021 | Venture Beat
89% of tech execs see synthetic data as a key to staying ahead
Nearly nine in ten (89%) technology decision makers who use vision data agree synthetic data is a new and innovative technology and believe that organizations that fail to adopt synthetic data are at risk of falling behind the curve, according to new research by Synthesis AI in conjunction with Vanson Bourne. Technology leaders agree that synthetic data will be an essential enabling technology and key to staying ahead.AI is driven by the speed, diversity, and quality of data. However, supervised learning approaches commonly used to train AI systems today are fundamentally limited, as humans do not scale and, more importantly, cannot label key attributes necessary to enable emerging industries such as AR/VR, autonomous vehicles, robotics, and more.
Sep 19, 2021 | Venture Beat
Want to win with AI? Focus on your leadership, not the competition.
You could say that when it comes to AI, companies today are engaged in a competition reminiscent of the ’60s space race. So it should be no surprise that OODA, an old pilot’s acronym for “observe, orient, decide and act,” has been co-opted by those wanting to amass business advantages through the use of data and machine learning.The OODA loop for AI updates the language, but the intent is just the same. The more data you have, the better your models get. The better your models are, the better your service becomes. This leads to more usage and, subsequently, more data. Thus the cycle continues.Following this model, you’d think most companies would be rushing to adopt AI. In more cases than you’d think, it’s the opposite. And this hesitancy could have massive repercussions.
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