Double executive departure rocks Quest Software

Symantec | February 10, 2017

Quest Software has suffered a double departure at executive level, with both local and regional leaders set to exit the vendor. ARN can confirm that vice president and general manager of APJ, Brenton Smith, and managing director of Australia and New Zealand, Klasie Holtzhausen, will leave the business in the coming weeks.

Spotlight

Glengarry Glen Ross is an amazing film, and I had a lot of fun with one of my favorite teams riffing on the famous Alec Baldwin scene as inspiration for naming this eBook. That being said, a lot has changed in sales since the fictitious burglary of the leads in that Chicago real estate office. In the dot-com boom, we focused on using technology to drive down costs, extend reach, and grow businesses. We were very successful, but ended up with businesses that were transactional. Today, social is a new part of our lives, something that puts a human element back into business in a way that scales beyond face-to-face interactions. Sales teams have an unprecedented opportunity to reach more would be customers than ever, and the way we sell will never be the same.


Other News
AI TECH,GENERAL AI,AI APPLICATIONS

Henderson Engineers and Torch.AI Test New AI for Building Systems Design

Torch.AI | September 06, 2022

Torch.AI, pioneers of Data Infrastructure AI™, is testing a new artificial intelligence application with Henderson Engineers, a national building systems design firm, to unlock the creative and problem solving potential of the firm's more than 1,000 employees. Henderson, one of the world's most prominent and successful building systems design and engineering firms, works on projects across the business, community, health, retail, and venue sectors, including many high-profile projects, such as SoFi Stadium, host site for the 2022 Super Bowl. The construction & engineering industry is known for sophisticated projects spanning huge supplier networks, strict building design standards, detailed job planning efforts, and tight margins. The industry relies on highly complex information contained in equally complex unstructured data: drawings, images, PDFs, handwriting, raw text. Earlier this year, Henderson began testing new artificial intelligence from Torch.AI that could learn to read complex construction and engineering documents and diagrams. Past construction & engineering data sets were used to quickly train the AI with more than 340 million parameters and growing, which in turn creates new opportunities for automation and data sharing. The Torch.AI system has already read roughly 100,000 engineering drawings with remarkable accuracy. In one example, in less than one second the AI is able to identify, extract, and compare diagrams from 40+ page project files with an average accuracy of 98.9%. Torch.AI's software helps unlock human potential by removing impediments to creativity and problem solving, namely mundane tasks created by the explosion of enterprise data and ever-increasing gaps in technology. The software begins by instantly figuring out what the data is and how it can be useful, then applies advanced machine learning to automate the steps necessary to deliver new insights and support decisions; all without human intervention. "When Kevin Lewis, Henderson's CEO, and I got together to first discuss the partnership, I could tell they were already thinking way ahead of everyone else. "As an engineering firm they are meticulous, thoughtful, strategic. We quickly saw the potential impact these new AI systems could have for their amazingly talented teams and are excited to continue growing our relationship." Brian Weaver, Chairman and CEO of Torch.AI About Torch.AI Torch.AI, the Data Infrastructure AI™ Pioneers, are headquartered in Kansas City with offices in Washington, DC. The company developed the use of AI to process data in-flight, radically evolving analytic and operational capabilities in any IT environment. Torch.AI's products and people are currently actively supporting operations in industries including financial services & insurance, construction and engineering, healthcare, and the US Department of Defense, US Department of Homeland Security, and other agencies. About Henderson Engineers Henderson Engineers provides a wide array of building system design engineering services across a variety of building types, specializing in five market sectors: Business, Community, Health, Retail, and Venue. Their sister company, Henderson Building Solutions, is a turnkey construction management and commissioning services firm that provides a seamless bridge between design, construction, and ongoing maintenance. Together as Henderson Companies, they provide single source solutions for any project.

Read More

AI TECH,AI APPLICATIONS,FUTURE TECH

Sapia and SmartRecruiters partnership brings world-first AI Smart Interviewer to integrations marketplace

Sapia.ai | September 30, 2022

Sapia.ai, creator of the world's first Smart Interviewer, has joined forces with SmartRecruiters, a global leader in enterprise recruitment software, to bring the first and only chat-based assessment tool to the SmartRecruiters integrations marketplace. Recruiters that use Sapia's Smart Interviewer via the SmartRecruiters Marketplace will now be able to dramatically accelerate time to hire and fulfill their diversity objectives. This new partnership will mean that Sapia's Smart Interviewer is the only fully automated apply-to-offer workflow on the market. Sapia CEO, Barb Hyman, said that chat-based assessment is a game-changer for any company that needs to hire the best talent, quickly and at scale. "This partnership is a win for companies needing to hire at F1 velocity, with an experience that is loved by all candidates – to date, 2 million across 47 countries," Hyman said. "Our Smart Interviewer is an assessment, interview, and feedback tool in one that also solves inclusion and diversity issues. It's blind, untimed, and gives every candidate feedback." Sapia's Smart Interviewer can be used for any role and any sector. Customers use the technology to assess candidates for values, scale culture, assess for competencies, or find the best people for key roles. The technology gives talent acquisition teams massive time savings and transforms employer brand. Sapia's innovative chat technology has recently garnered global recognition for its work in mitigating gender bias and for its ethical AI. Recently, the company also won an innovation award at Vivatech Paris, claiming the 'cutting edge technologies and employee experience' category . Sapia.ai has offices in Melbourne and Sydney, Australia, along with Chicago in the United States and London supporting the EMEA market, allowing support for companies across the globe. About Sapia.ai Sapia's mission is to build a fairer, more human world through ethical AI. Using the world's first Smart Interviewer, powered by the world's largest source of first-party proprietary text data and advanced Natural Language Processing, Sapia turns simple text conversations into unprecedented talent intelligence – enabling organizations to interrupt hiring bias at scale, get to the right talent fast, and give every candidate an experience they love.

Read More

SOFTWARE,FUTURE TECH

Spice AI Raises $13.5 Million Seed Funding to Enable Web3 Developers to Build Data and AI-driven Applications

Spice AI | September 08, 2022

Spice AI today announced a seed round of $13.5 million for its platform that enables developers to build data driven applications for Web3. Madrona led the round with Australia based Blackbird Ventures, Basis Set Ventures, Alumni Ventures Blockchain Fund, Joe McCann’s new Asymmetric fund, Protocol Labs, IEX Fund, and other strategic angel investors participating, including Thomas Dohmke, CEO of GitHub, who is also joining the board. “Spice AI is building a developer first platform to create AI/ML-driven applications that harness time series data – a valuable yet difficult to harness data set for any organization. There is no ecosystem out there that is more data rich than Web3 and blockchains, but that area is currently hampered by lack of data access and infrastructure. Solving the data problem in Web3 requires deep domain knowledge and Spice AI is building the infrastructure, so developers do not have to deal with the complexity of building it themselves. Now is the time to build for Web3 and we are excited to be well capitalized to grow the team and address this gap in the market,” said Luke Kim, CEO of Spice AI. Web3 and Spice AI While most blockchains are public and open, extracting data from them to power apps and ML is painfully difficult. To get meaningful quantities of useful data, developers are forced to build and operate a massively complex infrastructure which includes blockchain nodes, big data systems, ETL and ML pipelines, data lakes, data warehouses, and query systems. Going one step further, developers must deeply understand the various data sources including virtual-machine logs, and the inner workings and state of smart contracts, across a broad array of blockchains, scaling layers, and dApps. Spice.xyz, brings this together in a platform that enables developers to access web3 data across chains via SQL over high-performance Apache Arrow APIs. The platform is available in Preview today with Bitcoin, Ethereum, and Ethereum Name Service (ENS) datasets with work in progress to launch Solana and Polygon. “Madrona has invested in machine learning infrastructure and intelligent applications for almost a decade. We see a massive opportunity for Spice AI to provide a developer-first framework and intelligent data sets that unlock insights in blockchain data and enable developers to create intelligent distributed Web3 applications. As part of the financing, Porter will join the Spice AI board along with Thomas Dohmke. Tim Porter, Managing Director at Madrona Deeply Developer Focused Founders Over the last 15 years, co-founder Luke Kim has brought together the best builders and engineers across the globe to create developer focused experiences through tools and technologies used by millions worldwide. Before founding Spice AI, Luke was the founding manager and co-creator of Azure Incubations at Microsoft where he led cross-functional engineering teams to create and develop technologies like Dapr. Co-founder Phillip LeBlanc has spent a decade building some of the largest distributed systems and big data platforms used by millions worldwide. Before co-founding Spice AI, Phillip was both an engineering manager and IC working on distributed systems at GitHub and Microsoft. Phillip has contributed to services developers use every day including GitHub Actions, Azure Active Directory and Visual Studio App Center. “Spice AI is building the foundational platform for Web3, so developers do not have to invest in standing up their own infrastructure and in data engineering that is complex and costly, and frankly, hard to get right. Delivering real time insights from time-series data across chains powers intelligent applications being built for a wide range of industries – from addressing buying patterns in e-tail/retail all the way to fraud detection and securities trading. Since our pre-seed investment, the team continues to impress us with the focus and pace of innovation as they build this infrastructure for Web3,” added Aseem Datar, Partner at Madrona. Spice AI is building an office in greater Seattle with a footprint in Asia and Australia. Check out the positions here - spice.ai/careers About Spice AI Founded in June 2021 by Luke Kim and Phillip LeBlanc, Spice AI creates technology to help developers build intelligent apps that learn and adapt. The company has raised 14.5 million in funding since 2021 and is backed by leading venture and angel investors.

Read More

SOFTWARE,COMPUTER VISION

Deci Introduces World’s Most Advanced Semantic Segmentation Models

Deci | September 26, 2022

Deci, the deep learning company harnessing AI to build AI, today announced a new set of industry-leading semantic segmentation models, dubbed DeciSeg. Deci’s proprietary Automated Neural Architecture Construction (AutoNAC) technology automatically generated semantic segmentation models that significantly outperform the most powerful models publicly available, such as the MobileViT released by Apple, and the DeepLab family released by Google. Deci’s models deliver more than 2x lower latency, as well as 3-7% higher accuracy. Semantic segmentation is one of the most widely used computer vision tasks across many business verticals, including automotive, smart cities, healthcare, and consumer applications, and is often required for many edge AI applications. However, significant barriers exist to running semantic segmentation models directly on edge devices, such as high latency and the inability to deploy those models due to their size. With DeciSeg models, semantic segmentation tasks that previously could not be carried out at the edge because they were too resource intensive are now possible. This allows companies to develop new use cases and applications on edge devices, reduce inference costs (since AI practitioners will no longer need to run these tasks in expensive cloud environments), open new markets, and shorten development times. “DeciSegs are an example of the power of Deci’s AutoNAC engine capabilities to generate custom hardware-aware deep learning models with unparalleled performance on any hardware. AI teams can easily use DeciSegs models or leverage Deci’s AutoNAC engine to build and deploy custom models that run real-time computer vision tasks on their edge devices.” said Yonatan Geifman, PhD, co-founder and CEO of Deci. Deci’s platform has a proven-track record in enabling AI at the edge and empowering AI teams to build and deploy production grade deep learning models. Earlier this year, Deci announced the discovery of DeciNets for CPUs, which reduced the gap between a model’s inference performance on a GPU versus a CPU by half, without sacrificing the model’s accuracy, enabling AI to run on lower cost, resource constrained hardware. “In the world of automated deep neural network design and construction, Deci’s AutoNAC technology is a game changer. It uses deep learning to search vast spaces of neural networks for the model most appropriate for a particular task and particular AI chip. In this case, AutoNAC was applied to the Pascal VOC Semantic Segmentation task on NVIDIA’s Jetson Xavier NX™ chip and we are very pleased with the results.” said Ran El-Yaniv, co-founder and Chief Scientist of Deci and Professor of Computer Science at the Technion – Israel Institute of Technology. Deci’s platform is serving customers across industries in various production environments including edge, mobile, data centers and cloud. To learn more about how leading AI teams leverage Deci’s platform to build production grade models and accelerate inference performance, visit here. About Deci Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company's deep learning development platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment including cloud, edge, and mobile, allowing them to revolutionize industries with innovative products. The platform is powered by Deci's proprietary automated Neural Architecture Construction technology (AutoNAC), which automatically generates and optimizes deep learning models' architecture and allows teams to accelerate inference performance, enable new use cases on limited hardware, shorten development cycles and reduce computing costs. Founded by Yonatan Geifman, Jonathan Elial, and Professor Ran El-Yaniv, Deci's team of deep learning engineers and scientists are dedicated to eliminating production-related bottlenecks across the AI lifecycle.

Read More

Spotlight

Glengarry Glen Ross is an amazing film, and I had a lot of fun with one of my favorite teams riffing on the famous Alec Baldwin scene as inspiration for naming this eBook. That being said, a lot has changed in sales since the fictitious burglary of the leads in that Chicago real estate office. In the dot-com boom, we focused on using technology to drive down costs, extend reach, and grow businesses. We were very successful, but ended up with businesses that were transactional. Today, social is a new part of our lives, something that puts a human element back into business in a way that scales beyond face-to-face interactions. Sales teams have an unprecedented opportunity to reach more would be customers than ever, and the way we sell will never be the same.

Resources