BIG DATA MANAGEMENT

Clarabridge CX Analytics Solution Integrates with Amazon Web Services Contact Center Intelligence

Clarabridge | January 13, 2021

Clarabridge, a worldwide innovator in Customer Experience Management (CEM) for a portion of the world's top brands, reported today that the Clarabridge CX Analytics solution currently coordinates with Amazon Web Services (AWS) Contact Center Intelligence (CCI), bringing Clarabridge into the AWS Partner Network (APN). AWS CCI solutions joined with Clarabridge's omnichannel analytics empowers associations to effortlessly add AI (ML)- driven discourse and text analytics to existing contact center innovations driving quantifiable improvement to client assistance quality, far reaching hazard/consistence the board, and cost decrease in the contact center.

Organizations have encountered an assortment of difficulties because of the worldwide pandemic causing many contact centers to go totally distant close by quickly expanding call volumes. Gaining from this ideal tempest, numerous organizations are hoping to update current contact center innovation with computerized reasoning (AI) to improve client care encounters prompting higher devotion, frictionless client travels, and diminished stir. As clients progressively influence different correspondence channels, for example, telephone, computerized messages, visit, web-based media, messages, overviews and the sky is the limit from there, the requirement for innovation that can join translated specialist to-guest communications alongside any remaining client input to give significant bits of knowledge is important to a full comprehension of the client experience.

As a binding together stage between heritage contact center advances and siloed client criticism assortment apparatuses, Clarabridge CX Analytics incorporating AWS CCI call analytics capacities gives an all encompassing voice-of-the-client stage. With this declaration, associations, everything being equal, can all the more effectively and precisely concentrate experiences to reveal potential call diversion and self-administration openings, computerize quality confirmation (QA/QM), empower productive specialist training measures, measure drivers of consumer loyalty, and improve client lifetime esteem.

“Speech-to-Text Analytics is heavily dependent on the efficacy of the call transcription. Amazon Transcribe enables us to process our client’s calls with the highest accuracy while allowing maximum scalability during peak seasons,” said Eric Din, Vice President of Global Alliances and Strategy at Clarabridge. “By working with AWS, we’re providing organizations with the solutions they need to better understand their customer’s needs by listening to them everywhere they want to be heard.”

Amazon Transcribe, a piece of the AWS CCI solutions, makes it simple for organizations to add Speech-To-Text abilities to their current contact center environment. Sound information is practically inconceivable for PCs to look and investigate; accordingly, recorded discourse should be changed over to message before it very well may be utilized in business applications. Truly, clients needed to work with record suppliers that necessary them to sign costly agreements, requiring weighty customization and language model upkeep and making it trying for them to incorporate into their innovation stacks. A large number of these suppliers utilize obsolete innovation that doesn't adjust well to various situations, similar to low-constancy telephone sound guidelines in contact centers, which bring about low precision analytics and experiences. Utilizing a profound learning measure called programmed discourse acknowledgment (ASR) to change discourse over to message rapidly and precisely, Amazon Transcribe is utilized to interpret both inbound and outbound calls with organized contact center metadata for downstream analytics inside the Clarabridge CX Analytics stage.

Clarabridge CX Analytics empowers organizations to comprehend client encounters across the client venture by utilizing their input and cooperations across all information sources. Utilizing the top tier Amazon Transcribe motor to handle two-way communication calls into text alongside Clarabridge's industry-driving Natural Language Processing (NLP) motor to investigate the deciphered sound discussion alongside any remaining client input channels, organizations are furnished with a 360-degree perspective on all client encounters. Omnichannel dashboards summing up specialist to-guest discussions and featuring the genuine voice of the client considers business clients to rapidly recognize how client measurements like slant, exertion, and feeling sway operational expenses in the contact center and across the undertaking. This total comprehension of client experience data empowers associations to make more exact, educated, and significant choices with respect to their clients.

About Clarabridge

Clarabridge, an award-winning Customer Experience Management (CEM) solution, helps the world’s leading brands take a data-driven, customer-focused approach to everything they do. Using AI-powered text and speech analytics, the Clarabridge experience management platform enables brands to extract actionable insights from every customer interaction to grow sales, ensure compliance, and increase operational efficiencies.

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Snowflake’s cross-cloud platform enables domain teams to seamlessly collaborate and share data products across clouds and regions without copying or ETL. Domain teams can work with tools and languages of their choice, and scale resources independently with Snowflake’s elastic performance engine. With Snowflake, organizations can strike the right balance between domain ownership and governance standards.


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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

Alation Brings Trusted Data to Spreadsheet Users with Alation Connected Sheets

Alation | November 29, 2022

Alation Inc., the leader in enterprise data intelligence, today announced the launch of Alation Connected Sheets, a new product stemming from the company’s acquisition of Kloud.io. Alation Connected Sheets enables business users to pull trusted, governed, and up-to-date data from data sources into spreadsheets, including Google Sheets and Microsoft Excel1, via Alation Data Catalog. Spreadsheets are foundational for business decision-making across every industry. According to IDC2, there are 78 million advanced spreadsheet users worldwide. While both static in nature and disconnected from data sources, spreadsheets remain the preferred tool for business users; however, 90% contain errors. Data within spreadsheets is often copied-and-pasted from one spreadsheet to another or downloaded into CSV files via untraceable data sources. Without the proper management and effective data governance of spreadsheets, organizations suffer from significant productivity losses and expose themselves to increased risk because critical business decisions are based on inaccurate and ungoverned data. Alation Connected Sheets solves this problem by meeting business users where they are: spreadsheets, including Google Sheets and Microsoft Excel. Now, business users across the enterprise can easily find, understand, and use trusted data from spreadsheets with confidence. Alation Connected Sheets increases business user productivity by enabling them to find, filter, import, and refresh data without having to learn a new tool or querying language. Alation Connected Sheets is available immediately as an add-on in Google Sheets, and for Microsoft Excel in early 2023. Key benefits of Alation Connected Sheets: Brings trust and governance to spreadsheets: By integrating with Alation Data Catalog, unique governance features such as TrustFlags signal if data is endorsed, warned, or deprecated, helping users pull in the best and most appropriate data, directly from the source. Effortless setup, use, and maintenance: With a simple user interface and easy-to-use filters, data can be imported and automatically refreshed without relying on technical resources like data engineers or analysts. Risk mitigation: By leveraging existing security credentials, only authorized users can pull in and use live, compliant, and trustworthy data in a spreadsheet. “As it stands, business spreadsheets are often created using copy/paste functions or downloading static data that doesn’t sync with source data,” said David Menninger, SVP & Research Director, Ventana Research. “It's one of the most pervasive data governance challenges organizations face that significantly deteriorates productivity at scale. Without a traceable data lineage, multiple iterations of the same project are created using different formulas, data sources, and deprecated or low-quality data. Alation Connected Sheets helps solve this problem. Now, spreadsheet users can quickly retrieve governed data from a single source with confidence in the data they’re using – all natively within the spreadsheet.” “Harnessing the power of an organization’s data to drive fast, accurate business decisions is challenging for any employee,” said Raj Gossain, Chief Product Officer, Alation. “Business users routinely rely on the simplicity, power, and ubiquity of spreadsheets to do their jobs. But the data that powers spreadsheets is typically copied from other sheets or downloaded into CSV files, creating real risk for every business. Alation Connected Sheets combines the power of trusted, governed data with the ease of use of the spreadsheet. Now spreadsheets can be a trusted enterprise data asset instead of an invisible liability, empowering every business user with the best data the enterprise has to offer.” “Alation Connected Sheets will allow us to work natively in a familiar spreadsheet environment while connecting to the catalog and enabling spreadsheet governance. “Now, we can manage the countless spreadsheets we rely on to make critical business decisions, govern our spreadsheets, and limit regulatory compliance risk of exposing private information. Alation Connected Sheets will make our advanced spreadsheet users more productive because they can self-serve trusted data without being blocked by limited data engineering resources. Data teams will now be able to focus on complex analyses that drive the business forward; time otherwise spent pulling and verifying fresh data or tracing lineage.” Sara Cook, Director of Data Science and CMC Statistics, Novavax As the result of Alation’s second acquisition, Kloud.io CEO and co-founder Krishna Bhat and CTO and co-founder Sathish Raju have joined the company. “We created this technology to make it easy for anyone in an enterprise to pull data from other sources into a spreadsheet, without needing the deep technical understanding of underlying databases or data lakes,” said Krishna Bhat, Senior Director of Product Management, Alation. “Alation Connected Sheets is the result of a synergy between the technology that connects spreadsheets to source applications and Alation’s market-leading data intelligence platform,” said Sathish Raju, Senior Director of Engineering, Alation. About Alation Alation is the leader in enterprise data intelligence solutions, including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation’s initial offering dominates the data catalog market. Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata management. Nearly 450 enterprises drive data culture, improve decision-making, and realize business outcomes with Alation, including AbbVie, Allianz Global Investors, American Family Insurance, Autozone, Cisco, Draft Kings, Exelon, Fifth Third Bank, Finnair, General Mills, Munich Re, NASDAQ, Parexel, Pfizer, Salesforce, Virgin Australia, and Vistaprint. Headquartered in Silicon Valley, Alation has been named to Inc. Magazine’s Best Workplaces list three times, is a 2022 UK’s Best Workplaces™ for Women, and recognized as a 2022 UK’s Best Workplaces™ in Tech. The company is backed by leading venture capitalists, including Blackstone, Costanoa, Databricks Ventures, Data Collective, Dell Technologies Capital, Hewlett Packard Enterprise, Icon, ISAI Cap, Riverwood Capital, Salesforce Ventures, Sanabil Investments, Sapphire, Snowflake Ventures, Thoma Bravo, and Union Grove.

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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

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.

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BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE

WNS Acquires Two Firms to Enhance Digital Analytics and Procurement Capabilities

WNS | December 19, 2022

WNS Limited, a leading provider of global Business Process Management (BPM) solutions, today announced it has acquired The Smart Cube, a leader in platform-driven research and analytics (R&A) focused on procurement and supply chain, and OptiBuy, a leading European provider of procurement platform consulting and implementation solutions. These assets are complementary to WNS’ existing offerings and strengthen the company’s capabilities in both high-end procurement and advanced analytics. The Smart Cube Founded in 2003 and headquartered in London, UK, The Smart Cube provides digitally-led market intelligence and analytics solutions. The company’s offerings span four key areas including procurement and supply chain, commercial sales and marketing, digital and analytics, and strategy and investment research. The Smart Cube leverages their proprietary digital AI knowledge management platform called “Amplifi Pro” to help clients drive improved procurement and market intelligence and insight-based decision making. They also bring strong front-end advisory capabilities and a large European footprint to the WNS portfolio. The company has over 800 global employees including a seasoned leadership team with CXO-level relationships, and more than 600 talented R&A specialists with approximately 2/3 holding a Master’s degree. The acquisition of The Smart Cube was completed today. Consideration for the transaction is $125.0 million including up-front payment and expected earn-outs, and excludes adjustments for cash, debt, and working capital. Based on The Smart Cube’s revenue generated in calendar 2022, the acquisition is expected to add approximately $9 million to WNS’ net revenue in fiscal 2023, and to be dilutive by $0.01 to WNS’ fiscal 2023 adjusted diluted earnings per share. "The Smart Cube is proud to become part of WNS, an industry leader in global Business Process Management. Both of our firms share a common philosophy of partnering and growing with clients, and believe our businesses continue to have huge growth opportunities ahead. “Over the last 20 years, we have built a strong business based on delivering value for our clients leveraging our unique AI+HI (artificial intelligence + human intelligence) methodology. We are delighted to now join WNS in the next phase of our growth journey.” Gautam Singh, Founder and CEO of The Smart Cube OptiBuy Founded in 2010 and headquartered in Warsaw, Poland, OptiBuy is a leading European provider of procurement platform consulting and implementation solutions. The company helps clients leverage the capabilities of leading 3rd party procurement and supply chain platforms including Ivalua, Jaggaer, and O9, and complements WNS’ existing offerings with platforms such as Coupa and Ariba. In addition, OptiBuy also provides consulting, optimization, outsourcing, and training services to their clients. Currently focused on the EMEA market, the company has approximately 90 employees including more than 40 senior-level certified platform implementation professionals based in Poland. WNS views expansion of these capabilities into the North American market as a significant opportunity. The acquisition of OptiBuy was completed on December 14, 2022. Consideration for the transaction is €30.0 million including up-front payment and expected earn-outs, and excludes adjustments for cash, debt, and working capital. Based on OptiBuy’s revenue generated in calendar 2022, the acquisition is expected to add approximately $2 million to WNS’ net revenue* in fiscal 2023, and to be neutral to WNS’ fiscal 2023 adjusted diluted earnings per share. “On behalf of the entire team at OptiBuy, we are excited to become part of WNS and believe that the combination of our two firms will enable the creation of differentiated, end-to-end digital procurement and supply chain solutions for the global marketplace,” said Mateusz Borowiecki, Managing Director of OptiBuy. “We look forward to building on the capabilities we have created over the past 12 years and working with the WNS team as we help clients leverage digital technologies to drive long-term business value.” WNS has funded the up-front payments for these acquisitions with a combination of cash on hand and £83 million of long-term debt. “Both of these companies possess unique, digitally-led/human intelligence capabilities which are complementary to WNS’ existing procurement and analytics offerings, and are also complementary with each other. The Smart Cube and OptiBuy bring experienced leadership teams, highly specialized resources, and differentiated technology offerings to the WNS portfolio. These companies also have blue-chip customer bases with extensive cross-selling opportunities, and proven track records of delivering strong top line growth, healthy margins, and high levels of customer satisfaction. We believe that The Smart Cube and OptiBuy will significantly enhance our WNS-Denali (procurement) and WNS-Triange (analytics) solutions, and help accelerate our positioning and growth in these strategic areas. On behalf of myself and the entire WNS team, we are excited to welcome the talented teams of The Smart Cube and OptiBuy to the WNS family,” said Keshav R. Murugesh, WNS’ Chief Executive Officer. About WNS WNS Limited is a leading Business Process Management (BPM) company. WNS combines deep industry knowledge with technology, analytics, and process expertise to co-create innovative, digitally led transformational solutions with over 400 clients across various industries. WNS delivers an entire spectrum of BPM solutions including industry-specific offerings, customer experience services, finance and accounting, human resources, procurement, and research and analytics to re-imagine the digital future of businesses. As of September 30, 2022, WNS had 57,503 professionals across 60 delivery centers worldwide including facilities in Canada, China, Costa Rica, India, the Philippines, Poland, Romania, South Africa, Spain, Sri Lanka, Turkey, the United Kingdom, and the United States.

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Spotlight

Snowflake’s cross-cloud platform enables domain teams to seamlessly collaborate and share data products across clouds and regions without copying or ETL. Domain teams can work with tools and languages of their choice, and scale resources independently with Snowflake’s elastic performance engine. With Snowflake, organizations can strike the right balance between domain ownership and governance standards.

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