DATA ARCHITECTURE

Lumenore Introduces New Version of its AI-Driven Recommendations and Conversational Analytics Platform

Lumenore | March 31, 2022

Lumenore, which develops and markets fully integrated cloud-based business intelligence and advanced analytics solutions, introduced today a new version of its AI-driven recommendations and conversational analytics platform. Lumenore’s highly secure self-service data infrastructure delivers an enterprise data universe and organizational intelligence and dramatically simplifies decision making at all levels of the organization.

Lumenore’s platform provides seamless data acquisition, improved accessibility, and a powerful architecture for unparalleled performance. It features text and voice-based insight, utilizing natural language querying with Ask Me and automated data discovery with Do You Know to provide faster and easier access to actionable business recommendations from data.

Lumenore also announced the availability of 100 new data connectors—bringing the total to more than 150—that provide fast and seamless connectivity to leading CRM applications such as Excel, QuickBooks, Salesforce Insights and Shopify and immediately help organizations visualize metrics that matter most to a business, bridging the gap between data and decisions.

Donald Farmer Joins Lumenore as Strategic Advisor

Lumenore also announced that Donald Farmer, former Microsoft and Qlik executive and globally recognized as a visionary product leader, sought after speaker and author, has joined Lumenore as a strategic advisor. “We all know too well that the volume of data in business is almost overwhelming. But data without analysis is a wasted asset - and analysis without action is a wasted effort,” said Farmer. “We need to bridge the gap between data and decisions and it’s not enough to have a few smart analysts or data scientists."

“Lumenore has built a platform for organizational intelligence developed from a deep understanding of enterprise needs,” added Farmer. “I am impressed that their natural language capabilities are not just for cute demos but enable widespread data literacy and engagement. Similarly, their data discovery and augmented analytics features are genuinely self-service, but still built over a robust and secure data universe. It’s an impressive approach for enterprises who have struggled with the inflexibility of reporting and the risks of ungoverned self-service,” Farmer said.

“We are honored that Donald has joined Lumenore and will be advising us in our product development and go-to-market strategies,” said Anurag Shrivastava, Lumenore Founder and CEO. “The pandemic has sped up digital transformation across industries and sectors which means that we now have even more data than anticipated, and it has made consumer behavior harder to predict. The solution is not to build more dashboards, because dashboards are focused on an individual viewer, but instead empower organizational intelligence and new forms of organizational decision making, which are distributed and collaborative,” Shrivastava said. “Lumenore delivers a seamless experience to the entire team which helps them to derive insights from raw data and have a transparent view of its operations.”

About Lumenore
Lumenore develops and markets advanced analytics and business intelligence solutions delivered through an intuitive, AI-powered platform. Lumenore’s solutions enable organizations to build their entire data universe as well as automate and optimize organizational decision-making. Lumenore utilizes a common dataset to feed its powerful platform to visualize, analyze, actionize, as well as monetize business operations.

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BIG DATA MANAGEMENT

Micro Focus' CyberRes Partners with Google Cloud to Enable High-Scale Secure Cloud Analytics with Data Privacy

CyberRes | August 08, 2022

CyberRes, a Micro Focus line of business, today announced a partnership with Google Cloud to support the upcoming release of BigQuery remote functions. The partnership will see CyberRes' end-to-end enterprise data protection solution, Voltage SecureData, integrate with Google's BigQuery data warehouse to accelerate and expand organizations' data science initiatives and help companies comply with ever-evolving privacy regulations. The integration will enable CyberRes Voltage customers to persistently protect data in use, in motion, and at rest in Google BigQuery. The support for remote functions also enables Google Cloud's BigQuery customers to take advantage of Voltage's privacy-enabling technologies. Mutual customers can use Voltage's format-preserving encryption, hashing, and tokenization services within BigQuery in conjunction with Google BigQuery's native security to address strict privacy compliance controls. Voltage's cloud-agnostic and consistent data protection allows all customers to safely use regulated data for analytics across hybrid clouds. "The availability of remote functions from BigQuery is an exciting and critical evolution of Google Cloud's platform for our customers. "The integration with Voltage SecureData means BigQuery will allow customers to utilize and support the Voltage data-centric protection approach for secure analytics, enabling enterprises to accelerate and expand their data science initiatives with privacy by default." Tony de la Lama, Vice President of Product Management, CyberRes BigQuery, Google Cloud's highly scalable multi-cloud data warehouse, is designed for business agility and allows customers to gain insights with real-time and predictive analytics, access data and securely share insights with ease. This new partnership adds to Voltage SecureData's deep capabilities in securing analytics across data warehouses, databases and data lakes and enables customers to shift workloads seamlessly and securely to BigQuery. "Emerging threats and evolving technology needs are at the forefront of challenges in cyber security. By making its Voltage SecureData solution available to Google Cloud customers from within their BigQuery data warehouse, CyberRes is enabling customers with the technologies needed to protect their sensitive data while addressing and adhering to current data privacy regulations," said Ritika Suri, Director, Technology Partnerships, Google Cloud. The CyberRes Voltage portfolio helps secure organizations with continuous data discovery, insight, and protection to reduce risk and enable privacy by design. Organizations can work with high-value, sensitive customer data in its protected state to derive business intelligence without the risk of data exposure in Google BigQuery. The data protection technologies in Voltage SecureData provide flexible implementation and data-centric protection for a virtually unlimited number of structured data types in any language, and in any region, with proven performance, reliability, and scalability. About CyberRes CyberRes is a Micro Focus line of business. We bring the expertise of one of the world's largest security portfolios to help our customers navigate the changing threat landscape by building both cyber and business resiliency within their teams and organizations. CyberRes is part of a larger set of digital transformation solutions that fight adverse conditions so businesses can continue to run today, keep the lights on, and transform to grow and take advantage of tomorrow's opportunities.

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BIG DATA MANAGEMENT

Promethium Recognized by SIIA as best Data Tools & Platforms

Promethium | June 09, 2022

Promethium, the solution for collaborative data analytics, has been named the best Data Tools & Platforms of 2022 as part of the annual SIIA CODiE Awards. The CODiE Awards recognize the companies producing the most innovative business technology products across the country, and around the world. "Winning this CODiE award for Best Data Tools & Platforms is a great honor," said Promethium CEO and Founder Kaycee Lai. "When I worked as a data analyst the workflows were slow and broken, and they still are today. There wasn't one single solution that made it faster and easier for everyone - technical or not - to leverage data. So we built one. Now the workflow from question to data to answer takes minutes instead of months." Promethium's collaborative data and analytics offers two major advantages. First of all, it's an all-in-one solution. The entire data and analytics workflow can be completed by one person with one solution without long wait times, while also reducing costs. Secondly, it's powerful enough for data engineers, and easy enough for everyone else. Complexity has been eliminated with a no-code user experience and powerful Natural Language Processing automation. Last year Promethium was a CODiE awards finalist for Best Data Tools & Platforms. "Even during these tumultuous times, business application, software, service and product providers continued the industry's long tradition of developing and marketing innovative solutions to meet business needs. "We are proud to recognize this year's class of CODiE Award winners. They truly represent the best of the best in a highly-competitive and ever-evolving market." SIIA President Jeff Joseph The Software & Information Industry Association (SIIA), the principal trade association for the software and digital content industries, announced the full slate of CODiE winners during an online winner announcement June 8 in the metaverse. Acknowledged as the premier awards program for the software and information industries for over 35 years, the SIIA CODiE Awards are produced by the Software & Information Industry Association (SIIA), the principal trade association for the software, education, media and digital content industries. Promethium was honored as one of 46 winners across the 45 business technology categories, including seven leadership categories recognizing outstanding companies, individuals and teams. The SIIA CODiE Awards are the industry's only peer-reviewed awards program. The first-round review of all nominees is conducted by software and business technology experts with considerable industry expertise, including analysts, media, bloggers, bankers and investors. The scores from the expert judge review determine the finalists. SIIA members then vote on the finalist products, and the scores from both rounds are tabulated to select the winners. Forty-three awards were given this year for products and services deployed specifically for B2B software, information and media companies, including the Best Overall Business Technology Product, awarded to the product with the highest scores of both rounds of judging. About the SIIA CODiE™ Awards The SIIA CODiE Awards is the only peer-reviewed program to showcase business and education technology's finest products and services. Since 1986, thousands of products, services and solutions have been recognized for achieving excellence. About Promethium Promethium is the collaborative data and analytics solution used by data-driven enterprises to enable every employee to make data-driven decisions in real time without the technical complexity of data management. With Promethium, users can find data-driven answers by using intuitive natural language search. Unlike other solutions, there are no long implementations because data doesn't need to be moved and is accessed where it is. Connect data sources to Promethium and within minutes users can see results. Answers from data in minutes instead of months.

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BIG DATA MANAGEMENT

Dashbot Launches Conversational Data Cloud™ to Provide a Centralized View of All Chatbot Data

Dashbot | July 04, 2022

Dashbot, a conversational AI and data platform, today announced the launch of its proprietary Conversational Data Cloud™, letting customers build and optimize their chatbots from their businesses’ own conversational data. Dashbot’s Conversational Data Cloud™ turns unstructured, noisy, interrelated and often tangled conversational data into immediate action. Across an ever-increasing number of communication channels (contact centers, support tickets, social media, IVR, live chat, etc), a business can get up to three million customer messages per day. The pandemic has significantly accelerated this flood of customer communications. In addition, the complexity of human language makes it impossible to predict every way users will speak with bots. As a result, over 50% of chatbot sessions fail. Optimizing existing bots can reduce failure rate by up to 35% and reduce escalation rate by up to 57%. Dashbot’s Conversational Data CloudTM enables businesses to: Centralize all conversational data including chatbot transcripts, Zendesk, email and live agent voice calls. Decipher tens of thousands of daily conversations and transcripts. Group similar messages and topics to determine areas of failure and opportunities for new use cases, leveraging its proprietary machine learning algorithms. “We’re expanding beyond reporting and analytics to be able to ingest raw conversational data which can be difficult, but also very valuable for our customers,” said Andrew Hong, CEO of Dashbot. “We’re on a mission to decipher language, which is one of the most complex types of data that has ever existed. We listened to our customers that are challenged to make sense of all their conversational data, so we built our Conversational Data Cloud™ to help businesses automate, analyze and optimize their conversation channels.” Dashbot’s Conversational Data Cloud™ is powered by three core features: Transcript Transformer: Ability to search and categorize thousands of daily transcripts DashbotML: State of the art machine learning models hypertuned from over 10 billion conversations. Topic Modeling to visualize flow and conversation loops. Phrase clustering (message grouping) to identify new use cases and unhandled topics. Automated Training Data: Export messages as training data to optimize NLP model. One Dashbot customer example is Intuit. With QuickBooks Assistant having so much unstructured data, they were spending days trying to manually identify mishandled or unhandled intents. In turn, their customers were getting annoyed with inaccurate responses and escalation to a live agent. They were able to leverage Dashbot’s Conversational Data CloudTM to benchmark the current state of their chatbots, and then identify and prioritize the highest impact tactics to improve. About Dashbot Dashbot is a conversational AI and data platform helping businesses to build and optimize their interactive voice response and chatbots. With Dashbot’s Conversational Data Cloud, the company is turning the most unstructured, noisy, interrelated and often tangled conversational data into immediate action. They are the only company to surface patterns with mishandled and unhandled intents to improve NLP engines, leveraging their proprietary Conversational Data Cloud™. Dashbot works with leading enterprises such as Intuit, Expedia, Geico, Google and Travelers, among many others.

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DATA ARCHITECTURE

Skyflow Launches Integration to Build Privacy and Data Protection into the Snowflake Data Cloud

Skyflow | June 17, 2022

Skyflow, the Data Privacy Vault company, announced a new integration with Snowflake, the Data Cloud company, at Snowflake Summit 2022. Now, Snowflake customers can quickly and easily integrate Skyflow to isolate sensitive information being shared in the Snowflake Data Cloud and secure it using Skyflow’s Data Privacy Vault. Customers can still query and share sensitive data while it remains protected using the vault, which insulates the application stack and reduces the overall compliance scope. What if privacy had an API? Building data privacy infrastructure from scratch or pulling together piecemeal solutions can take a significant amount of time and resources. Skyflow’s API was built so that companies can be up and running with world-class data privacy infrastructure in hours. “Companies that depend on data often handle PII, but building infrastructure to protect that sensitive data is too often an afterthought. “With Skyflow and Snowflake, teams can unlock the power of data while reducing the time, money, and resources historically spent on privacy.” Tarik Dwiek, Head of Technology Alliances at Snowflake Every company should prioritize privacy as they build to keep sensitive data out of unnecessary workflows and data streams. The risk of a security breach and the cost of breaking customer trust becomes amplified in highly regulated industries, like fintech and digital health. Skyflow radically simplifies how companies manage, access and govern sensitive PII data, and with dedicated fintech and healthtech data vaults, PHI and PCI-regulated data can be protected as well. Global Data Residency and Data Protection for Customer Data Both startups and enterprises across verticals can benefit from Skyflow’s scalable and customizable approach to privacy. The zero-trust vaults with a simple and elegant API can be deployed anywhere in the world, allowing developers to quickly build applications and workflows without worrying about data privacy, compliance or residency. Sensitive information can be stored in a specific geolocation to help teams achieve data residency requirements related to GDPR, DCIA, LGPD, PDPA, and Skyflow’s solution can drastically reduce the amount of time and resources needed to achieve compliance with standards like PCI DSS and HIPAA. “Skyflow is partnering with Snowflake to simplify how developers and CIOs solve for data protection. This is key in a world where privacy is becoming a top priority for users and regulators globally,” says Anshu Sharma, CEO of Skyflow. “Together, Snowflake and Skyflow can help customers put privacy first so they can focus on their core products.” About Skyflow Founded in 2019, Skyflow is a data privacy vault for sensitive data. Our founders wanted to radically transform how businesses handle their users’ financial, healthcare and other personal data -- the data that powers the digital economy. Inspired by the data vaults that leaders like Apple and Netflix built to handle customer data, our vision was to deliver the same kind of data privacy vault as a simple and elegant API, something any developer could easily build into their application, the same way they use Stripe, Twilio, or Okta. Skyflow is based in Palo Alto, California, with offices in Bangalore, India

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