GENERAL AI

Celestial AI Announced the Investment of $56 Million to Transform Computing With Novel Photonic-Electronic Technology Platform

Media7 | February 08, 2022

Celestial_AI_Announced
On February 4th, Celestial AI, a renowned developer of audacious AI computing platforms that promote energy, performance, and economic efficiencies, announced the series A investment of $56 million. It will be led by Koch Disruptive Technologies (KDT) in association with IMEC XPand, M-Ventures, Tyche Partners, The Engine, Temasek’s Xora Innovation fund, and Fitz Gate, venture capital investor in the Princeton University ecosystem.

The capital will be used to develop Celestial AI’s Orion accelerator products by elevating strategic supplier engagements (including Broadcom), product development, and the global engineering team. This initiative is a part of efforts to fulfill the Company’s mission to transform the way computing is performed with a more advanced processing system, powered by its proprietary Photonic Fabric™ technology platform. This platform enables the use of light for data transmission between chips and within chips as well.

We are addressing the problem of our time in computing – efficient data movement. Celestial AI’s hybrid photonic-electronic platform allows us to leverage the complementary strengths of electronics for high-performance, high-precision computing and photonics for high-speed, low-power, high-bandwidth data movement. The result is transformational performance advantages relative to electronic-only systems. The ML application benefits extend beyond performance and low power to latency, user-friendly software, and low total cost of ownership. Our competitive differentiation will increase with time, as AI model complexity increases, driving increased data movement.”

David Lazovsky, Celestial AI’s Founder and CEO.

The company is aiming to enable step-change advancements in AI computation by integrating photonics into accelerators for AI workloads. Power budgets today restrict server systems and chips. The Celestial AI Photonic Fabric enables a redistribution of the fixed power budget for computing. This offers some tremendous advantages over electronic-only solutions.

Photonics is poised to be the technology to usher in the next era of rapid growth in AI and high-performance computing, and we believe the Celestial AI team has the experience and vision to drive this industry transformation, It was Celestial AI’s software advantages that ultimately drove our decision to lead this financing. Their system architecture enables unparalleled software simplicity, which translates to ease of use for customers and reduced time to market. Software is the pathway to revenue, and Celestial AI’s solution changes the game in this large and rapidly expanding market.”

Isaac Sigron, Managing Director of KDT, and newly-appointed Celestial AI Board Member.

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API, AI

MindBridge Launches Its API Helping Businesses Integrate Financial Risk Discovery and Anomaly Detection

MindBridge | September 09, 2022

MindBridge, a leader in cloud-first AI financial risk discovery and anomaly detection software, today announced its latest global release. MindBridge has delivered a new API, greater AI transparency through custom risk segmentation, and the expansion of platform localization and service for advanced risk analytics. MindBridge risk scoring is central to the innovation behind our technology, and a clear advantage for business leaders looking to identify financial data anomalies for greater assurance at less cost. Increased regulatory review and complex controls are driving the need for more informed monitoring and stricter oversight of financial systems. With accounting firms across a wide range of industries leveraging MindBridge's cloud platform, we are continuously advancing our capabilities to help align world-class financial risk analytics with human intelligence for stronger professional judgment. "Organizations that leverage analytics and AI in their business are driving change in the industry. "These organizations know where to focus and how to be fierce competitors. With the latest MindBridge release, we are bringing state-of-the-art analytics that can now be integrated into the core of an audit practice or financial technology landscape. This pushes to the next level the ease with which our clients can become data- and AI-enabled." Robin Grosset, Chief Technology Officer of MindBridge Widespread adoption of AI is now common amongst our customers. The MindBridge API introduces immense value for organizations who are automating and expanding integration of advanced risk analytics across their business and into upstream and downstream workflows. The MindBridge API will help organizations supercharge next-gen innovation by automating MindBridge input and output for audit and financial professionals. MindBridge is now providing the ability to configure risk groups and create custom risk scores. This will enable stronger integration with a firm's audit methodology and provides internal audit teams with granular details through a new dashboard for better visibility into their risk segments. "With less standardization in these areas, companies will see an increasing need for flexible solutions able to ingest different shapes of data and apply novel analysis," said Chris Corman, Senior VP of Product Development at MindBridge. To further broaden the use of our technology and drive global adoption, the MindBridge interface is now available in Canadian French, Parisian French, German, and Castilian Spanish. These new supported languages are woven into the MindBridge platform, including supporting materials for non-English-speaking users. MindBridge continues to bring together the most advanced financial risk analytics technology for audit and business professionals. Our latest release delivers further capabilities across our platform to enrich our customer and partner ecosystems for greater confidence in strategic insights and decision making. About MindBridge MindBridge is a global leader in financial risk discovery and anomaly detection that helps financial professionals access better ways of working by identifying, surfacing, and analyzing risk across broad financial datasets. MindBridge has been recognized by the World Economic Forum as a Technology Pioneer, and by Forbes as a Top 50 AI Firm to Watch for its contribution to transforming accounting and financial professionals' ability to analyze data. MindBridge was also the first Audit and Financial Analysis Software tool to have gone through the rigorous evaluation methodology of the ICAEW Technology Accreditation Scheme and is the first private sector signatory to the Montreal Declaration for a Responsible Development of Artificial Intelligence.

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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.

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SOFTWARE

Lakeside Software Recognized as a Leader in End-User Experience Management by Independent Research Firm

Lakeside Software | August 02, 2022

Lakeside Software, an enterprise-class digital experience management software provider, has been named a Leader in The Forrester Wave™: End-User Experience Management, Q3 2022 report. Among the vendors analyzed, Lakeside was cited for enabling deep historical analysis of telemetry data for RCA. The Q3 2022 report evaluated the most significant end-user experience management (EUEM) providers and scored them using 30 criteria. Lakeside scored the highest possible marks in the strategy criteria of partner integration, market approach, and supporting products and services. Lakeside's telemetry monitoring was also scored highest, a benefit of SysTrack's Intelligent Edge which collects 10,000 metrics out of the box. The report notes that the exceptional UI of Lakeside's Prevent solution makes it easy for service desk administrators to quickly identify common high-severity events and remediate them at scale. The evaluation findings were supported by strong references from the customer community. Customers cited Lakeside's "exceptional support, granular data analysis, and improved usability." The report also highlighted differentiated support services in the form of DEX packs, which help customers quickly implement new services such as proactive management. "In an increasingly digital working environment for many of today's global enterprises, we are proud to serve our customers with IT solutions that will drive employee engagement and productivity, while reducing downtime caused by tech disruptions. "We believe earning a leader position in the end-user experience management category demonstrates our continued commitment to offer best in class solutions that meet the needs of today's modern enterprises." David Keil, CEO, Lakeside Software Lakeside has experienced tremendous market share and talent acquisition growth. The company recently announced the appointment of three new executives who will lead national and international markets. About Lakeside Software Lakeside Software is a leader in cloud-based digital experience management. Lakeside's Digital Experience Cloud, powered by SysTrack, gathers and analyzes data on everything that may impact end-user experience and business productivity and provides the unmatched visibility IT teams need to design and support rapidly changing digital workplaces. Customers use Lakeside's technology to perform end-user experience management, digital workplace planning, IT asset optimization, remote work management, and proactive service desk operations.

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AI TECH,GENERAL AI

Run:ai Certified to Run NVIDIA AI Enterprise Software Suite

Run:ai | September 22, 2022

Run:ai, the leader in compute orchestration for AI workloads, today announced that its Atlas Platform is certified to run NVIDIA AI Enterprise, an end-to-end, cloud-native suite of AI and data analytics software that is optimized to enable any organization to use AI. "The certification of Run:AI Atlas for NVIDIA AI Enterprise will help data scientists run their AI workloads most efficiently. "Our mission is to speed up AI and get more models into production, and NVIDIA has been working closely with us to help achieve that goal." Omri Geller, CEO and co-founder of Run:ai With many companies now operating advanced machine learning technology and running bigger models on more hardware, demand for AI computing chips continues to grow. GPUs are indispensable for running AI applications, and companies are turning to software to reap the most benefit from their AI infrastructure and get models to market faster. The Run:ai Atlas Platform uses a smart Kubernetes Scheduler and software-based Fractional GPU technology to provide AI practitioners seamless access to multiple GPUs, multiple GPU nodes, or fractions of a single GPU. This enables teams to match the right amount of computing power to the needs of every AI workload, so they can get more done on the same chips. With these capabilities, Run:ai's Atlas Platform lets enterprises maximize the efficiency of their infrastructure, avoiding a scenario where GPUs sit idle or use only a small amount of their power. "Enterprises across industries are turning to AI to power the breakthroughs that will help improve customer service, boost sales and optimize operations," said Justin Boitano, vice president of enterprise and edge computing at NVIDIA. "Run:ai's certification for NVIDIA AI Enterprise provides customers with an integrated, cloud-native platform for deploying AI workflows with MLOps management capabilities." Run:ai creates fractional GPUs as virtual ones within available GPU framebuffer memory and compute space. These fractional GPUs can be accessed by containers, enabling different workloads to run in these containers — in parallel and on the same GPU. Run:ai works well on VMware vSphere and bare metal servers, and supports various distributions of Kubernetes. This certification is the latest in a series of Run:ai's collaborations with NVIDIA. In March, Run:ai completed a proof of concept which enabled multi-cloud GPU flexibility for companies using NVIDIA GPUs in the cloud. This was followed by the company fully integrating NVIDIA Triton Inference Server. And in June, Run:ai worked with Weights & Biases and NVIDIA to gain access to NVIDIA-accelerated computing resources orchestrated by Run:ai's Atlas Platform. About Run:ai Run:ai's Atlas Platform brings cloud-like simplicity to AI resource management - providing researchers with on-demand access to pooled resources for any AI workload. An innovative cloud-native operating system - which includes a workload-aware scheduler and an abstraction layer - helps IT simplify AI implementation, increase team productivity, and gain full utilization of expensive GPUs. Using Run:ai, companies streamline development, management, and scaling of AI applications across any infrastructure, including on-premises, edge and cloud.

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What does this mean for you? Your job is about to get even cooler. Manual testers will be the Automation Specialists of tomorrow. Automation Engineers will enable the success of Automation Specialists.

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