BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Comet Introduces Kangas, An Open Source Smart Data Exploration, Analysis and Model Debugging Tool for Machine Learning

Comet | November 17, 2022 | Read time : 03:00 min

Comet Introduces Kangas, An Open Source Smart Data Exploration
Comet, provider of the leading MLOps platform for machine learning (ML) teams from startup to enterprise, today announced a bold new product: Kangas. Open sourced to democratize large scale visual dataset exploration and analysis for the computer vision and machine learning community, Kangas helps users understand and debug their data in a new and highly intuitive way. With Kangas, visualizations are generated in real time; enabling ML practitioners to group, sort, filter, query and interpret their structured and unstructured data to derive meaningful information and accelerate model development.

Data scientists often need to analyze large scale datasets both during the data preparation stage and model training, which can be overwhelming and time-consuming, especially when working on large scale datasets. Kangas makes it possible to intuitively explore, debug and analyze data in real time to quickly gain insights, leading to better, faster decisions. With Kangas, users are able to transform datasets of any scale into clear visualizations.

“A key component of data-centric Machine Learning is being able to understand how your training data impacts model results and where your model predictions are wrong. “Kangas accomplishes both of these goals and dramatically improves the experience for ML practitioners.”

Gideon Mendels, CEO and co-founder of Comet

Putting Large Scale Machine Learning Dataset Analysis at Your Fingertips

Developed with the unique needs of ML practitioners in mind, Kangas is a scalable, dynamic and interoperable tool that allows for the discovery of patterns buried deep within oceans of datasets. With Kangas, data scientists can query their large-scale datasets in a manner that is natural to their problem, allowing them to interact and engage with their data in novel ways.

Noteworthy benefits of Kangas include:


Unparalleled Scalability: Kangas was developed to handle large datasets with high performance.
Purpose Built: Computer Vision/ML concepts like scoring, bounding boxes and more are supported out-of-the-box, and statistics/charts are generated automatically.
Support for Different Forms of Media: Kangas is not limited to traditional text queries. It also supports images, videos and more.
Interoperability: Kangas can run in a notebook, as a standalone local app or even deployed as a web app. It ingests data in a simple format that makes it easy to work with whatever tooling data scientists already use.
Open Source: Kangas is 100% open source and is built by and for the ML community.

Kangas was designed for the entire community, to be embraced by students, researchers and the enterprise. As individuals and teams work to further their ML initiatives, they will be able to leverage the full benefits of Kangas. Being open source, all are able to contribute and further enhance it as well.

“Interoperability and flexibility are inherent in Comet’s value proposition, and Comet aims to expand on that value through open source contributions,” added Mendels. “Kangas is a continuation of all of our efforts, and we couldn’t wait to get its capabilities into the hands of as many data scientists, data engineers and ML engineers as possible. We believe by open sourcing it, Comet can help teams get the most out of their ML projects in ways that have not been possible previously.”

Kangas is available as an open source package for any type of use case. It will be available under Apache License 2 and is open to contributions from community members.

About Comet
Comet provides an MLOps platform that data scientists and machine learning teams use to manage, optimize, and accelerate the development process across the entire ML lifecycle, from training runs to monitoring models in production. Comet’s platform is trusted by over 150 enterprise customers including Affirm, Cepsa, Etsy, Uber and Zappos. Individuals and academic teams use Comet’s platform to advance research in their fields of study. Founded in 2017, Comet is headquartered in New York, NY with a remote workforce in nine countries on four continents. Comet is free to individuals and academic teams. Startup, team, and enterprise licensing is also available.

Spotlight

Prior to Dataminr Pulse, the bank’s SOC operators had to rely on manual searches to identify potential risks. It was very labor-intensive and highlighted the need for a more automated process In 2021, the bank experienced a loss of nearly $13 million in physical assets due to a series of high-risk events that occurred near its h


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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Pico expands flagship monitoring platform into the cloud with the launch of Corvil Cloud Analytics

Pico | December 07, 2022

Pico, a leading provider of mission-critical technology services, software, data and analytics for the financial markets community, has expanded the reach and visibility of industry leading Corvil Analytics into the cloud with the launch of Corvil Cloud Analytics. Pico’s Corvil Analytics has a 20-plus year legacy across financial services in extracting and correlating technology and transaction performance intelligence from global dynamic network environments. Corvil’s high throughput, lossless, granularly time-stamped data capture provides an incredibly rich data source that can be used for broader analytics and use cases, including trade analytics. Corvil is available across multiple environments including colocation and on-prem, and now those same attributes that make Corvil Analytics an industry leader are available in the cloud with Corvil Cloud Analytics. “As companies look to move real-time applications to the cloud, they struggle with visibility when utilizing existing cloud monitoring solutions. “There is a need for deeper visibility to fill those voids, and Corvil Cloud Analytics is the solution, providing market-leading analytics for applications running in the cloud. Corvil Cloud Analytics provides our clients with the real-time analytics required to migrate their most critical workloads to the cloud, with confidence.” Stacie Swanstrom, Chief Product Officer at Pico Highlights of Corvil Cloud Analytics include: Maximum Visibility: Measures every order, every market data tick and every packet to fill the missing gap of visibility needed to manage real-time performance in public cloud environments Granular Instrumentation: Provides per-packet and per-application message analytics alongside Corvil’s AppAgent to instrument internal application performance Corvil Analytics: Provides all functions of Corvil Analytics including network congestion analytics for public cloud infrastructure, and per-hop trading and market data analytics for cloud-hosted deployments Flexibility: Pay for only what is needed in the public cloud Corvil Analytics is currently used by the world’s largest banks, exchanges, electronic market makers, quantitative hedge funds, data service providers and brokers. With the launch of Corvil Cloud Analytics, and as exchanges partner with the major cloud providers to bring trading into the cloud, Corvil can now provide a single pane of glass for monitoring colocation, on-prem and cloud environments together. “We had the vision to provide clients the same technology, visibility and rich analytics they’ve come to rely on through Corvil,” Swanstrom said. “Since Corvil Cloud Analytics is software only, this accelerates our deployments and also provides an expedited avenue for proof-of-concept use cases. It’s now easier than ever for clients to access the platform so they can see firsthand what makes Corvil an industry leader in data analytics.” Corvil Cloud Analytics provides the highly granular, real-time Corvil visibility required to understand the cause of variable performance that continues to impact real-time applications running in the public cloud. With cloud applications, there is no hardware CapEx costs, lead times, or shipping and installation challenges. Corvil Cloud Analytics is simple to scale, easy to deploy and can be up and running in hours instead of weeks. Corvil’s industry leading visibility and intelligence is now available for businesses wanting the competitive edge in the cloud. About Pico Pico is a leading provider of technology services for the financial markets community. Pico provides a best-in-class portfolio of innovative, transparent, low-latency markets solutions coupled with an agile and expert service delivery model. Instant access to financial markets is provided via PicoNet™, a globally comprehensive network platform instrumented natively with Corvil to generate analytics and telemetry. Clients choose Pico when they want the freedom to move fast and create an operational edge in the fast-paced world of financial markets.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Veritonic Added to List of Acast’s Preferred Audio Attribution Partners

Veritonic | December 09, 2022

Veritonic, the industry’s comprehensive audio analytics and research platform, announced today that they have been approved as an attribution partner by Acast, the world’s largest independent podcast company. As a result, the more than 2,400 advertisers and 88,000 podcasters that use the Acast platform to distribute their podcast content can elect to utilize Veritonic’s robust attribution capabilities to optimize and further increase the ROI of their audio campaigns. “We are pleased to partner with Acast to support brands, agencies, and publishers with the holistic data and analytics they need to increase their reach and ROI with audio. "The powerful combination of our attribution and brand lift technology provides unparalleled and comprehensive measurement of audio campaigns from top to bottom in one unified and intuitive platform.” Scott Simonelli, chief executive officer of Veritonic "Veritonic shares our commitment to arming brands and agencies with actionable and insightful audio performance data,” said Kevin McCaul, Global Head of Ad Operations at Acast. “Our partnership is an important step for the open ecosystem of podcasting as we continue to work together to provide independent measurement insights to prove the effectiveness and efficiency of podcasting as a marketing channel.” Veritonic’s Attribution solution enables users to glean actionable insights from top-of-the-funnel branding initiatives through bottom-of-the-funnel conversions & transactions. Through an intuitive and interactive dashboard, brands can determine which publisher and specific ads had the highest impact and use that data to optimize ad performance. About Veritonic World-renowned brands, agencies, publishers, and platforms rely on Veritonic’s comprehensive audio research and analytics platform to research, test, and measure the ROI of their audio assets and campaigns pre-market, in-market, and post-campaign. The resulting insight enables clients to gain confidence in their audio investment, mitigate risk through optimization, and increase their return as they engage consumers with compelling audio experiences. About Acast Acast is the world’s largest independent podcast company. Founded in 2014, the company has pioneered the open podcast ecosystem ever since – making podcasts available on any listening platform. Acast provides a marketplace, helping podcasters find the right audience to monetize their content. When our podcasters make money, we make money. Today, Acast hosts nearly 88,000 podcasts, with more than 430 million listens every month.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Accenture to Acquire ALBERT After Completing Tender Offer

Accenture | November 15, 2022

Accenture is to acquire Japanese data science company ALBERT Inc. (President and CEO: Tokyo Stock Exchange Growth Market, Securities Code: 3906), after completing a tender offer. The acquisition will add a large team of data scientists to Accenture to further strengthen its data and AI capabilities for clients. The tender offer was launched on September 29 and closed on November 14. The number of ALBERT's common shares and stock acquisition rights tendered to Accenture significantly exceeds the threshold required for ALBERT to become part of Accenture, equal to two thirds of the ALBERT stock. Upon completion of the transaction, ALBERT will be part of Accenture. Accenture expects to purchase all remaining shares and stock acquisition rights in the coming months, after which ALBERT will be delisted from the Tokyo Stock Exchange. ALBERT offers AI and big data analytics services, AI-based algorithm development, AI implementation consulting, and data science training support, primarily to major corporations in Japan. The company was founded in 2005 and was listed on the Tokyo Stock Exchange in 2015. Its data science team of 250 permanent employees and contractors will join Accenture’s Applied Intelligence practice, which provides AI and data-led transformation solutions and services. ALBERT will strengthen Accenture’s ability globally to help its clients manage the total reinvention of their enterprises, which most successful companies will undergo in the next decade. Technology, data and AI will transform every part of their business, enabling new ways of working and engaging with customers, business models and growth opportunities. The acquisition will be Accenture’s latest step to further strengthen its services in Japan that use data to digitally replicate the entire enterprise and to help Japanese companies grow and become more competitive with deep data analytics and AI expertise. Accenture has launched several solutions for data-driven management in Japan recently, for example, to forecast various business scenarios and propose actions to improve the forecasts, and to support clients’ ESG (environment, society, and corporate governance) practices. Atsushi Egawa, who leads Accenture’s business in Japan, said, “Companies today need a 360-degree view on their business to make better and faster decisions. They must look beyond the financials and include, for example, sustainability initiatives, customer experiences, and people development and retraining. Gaining this holistic perspective and being able to simulate every aspect of the business requires deep data science expertise and AI capabilities. Accenture and ALBERT’s team will bring these to clients to help them succeed in their total enterprise reinvention.” “ALBERT’s philosophy is to connect the world with data science and co-create new value for a better future. As leading companies across industries are investing heavily in AI, we’re seeing growing demand for the technologies and skills that are the core of our business. By joining Accenture, which excels at addressing its clients' most complex opportunities and issues, our team can drive even more value for clients and accelerate the implementation of AI in society.” Takeshi Matsumoto, President, and CEO of ALBERT ALBERT will follow other acquisitions Accenture has made to strengthen its data and AI capabilities for clients globally. These include Analytics8 in Australia; Sentelis in France; Bridgei2i and Byte Prophecy in India; Pragsis Bidoop in Spain; Mudano in the UK; and Clarity Insights, End-to-End Analytics and Core Compete in the US. About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 721,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

EY announces alliance with Alteryx to help accelerate digital transformation through analytics automation

EY | November 28, 2022

The EY organization today announces an alliance between Alteryx, one of the leaders in analytics automation, and Ernst & Young LLP (EY US), to help organizations unlock the power of data through automation and digital transformation. Most organizations face inefficiencies and increased costs when carrying out day-to-day business and back-office operations. As they undergo digital transformation efforts, they tend to devote more time to data manipulation than to data analysis. As a result, revisiting and updating their existing technologies to improve data literacy throughout the organization becomes critical to achieve their transformation goals. The EY–Alteryx Alliance will help clients across various sectors optimize data-driven processes by generating valuable insights to deliver faster, better business outcomes to achieve efficiency in business operations. The alliance leverages the highly intuitive and easy-to-learn data analytics automation platform of Alteryx along with the EY organization's digital transformation capabilities across Strategy and Transactions, Consulting and Tax. The Alteryx platform combines three key pillars of automation and digital transformation — data, processes and people — to help enable data democratization, business process automation and people upskilling. Users are then better able to unlock the value of advanced analytics using its user-friendly platform, analyze a wide range of data from multiple sources and deliver business insights to answer business questions more efficiently. Among other strengths, EY US is well-known among clients and in the market for its consulting capabilities. With more than 700 certified implementers of Alteryx across service lines and countries, EY US teams have built innovative, proprietary solutions that are supported by Alteryx. Through the EY–Alteryx Alliance, clients gain access to and counsel from the right technology and consulting talent for data exploration, transformation and analysis. Brian May, EY Americas Alliance and Managed Services Leader, says: "This collaboration combines advanced technology and consulting capabilities for data exploration and analysis across key functional areas including tax, finance, human resources, supply chain, internal audit and IT. Activating and accelerating rapid digital transformation is paramount in helping organizations efficiently navigate today's evolving business landscape." Barb Huelskamp, Alteryx SVP of Channel Sales, says: "By aligning the EY organization's rich heritage of experience with the Alteryx analytics automation platform, we provide incremental value for key customer segments across the office of finance, human resources, supply chain and more. Our shared objective helps organizations optimize analytics to help drive large-scale business transformations." About EY EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

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Spotlight

Prior to Dataminr Pulse, the bank’s SOC operators had to rely on manual searches to identify potential risks. It was very labor-intensive and highlighted the need for a more automated process In 2021, the bank experienced a loss of nearly $13 million in physical assets due to a series of high-risk events that occurred near its h

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