Linq Analytics | January 18, 2022
Linq Analytics, LLC, a provider of software and services for adaptive customer data management and analytics, announced today its acquisition of certain assets of Altius, Inc., a privately-held company with US offices in Sugar Land, TX. Altius' Flex™ suite of planning and Master Data Management (MDM) products give users the ability to augment Microsoft Excel™-based financial models with data enrichment and workflows, providing them a more accurate understanding of their information and enabling management tailored to their business.
The addition of the Flex™ suite to the Linq Analytics portfolio will add capabilities that extend both Linq's Account Hierarchy Management Solution and associated analytics and workflows, helping Clients realize additional value across the Customer data chain through more agility in data integration, extensive analytics insights, and decreased redundancy.
"Our Clients and Partners have expressed a desire to seamlessly connect their customer data from multiple CRM and ERP instances with existing analytics and finance workflows. We believe that adding the Flex™ capabilities helps us to provide a more complete solution that can drive additional value for our Clients."
Brandon Swalve, Linq Analytics' co-founder and CEO
As part of this transaction, Linq Analytics will appoint Noel Phillips as Chief Technology Officer. "In addition to the product capabilities, I'm excited to welcome Noel to Linq," continued Swalve. "He adds significant technical knowledge, functional expertise, and strong leadership to our rapidly expanding team, and our Clients will feel his impact quickly."
"I'm very excited to join the superb team at Linq Analytics. I know the combination of Linq's innovative CRM and ERP tools - along with the Flex™ Planning Platform - will prove incredibly powerful. It tells a compelling story and will benefit current and future clients alike. I can't wait to see what we will achieve together."
The Flex™ product suite will continue to be available from Linq Analytics. Support services for current Flex™ clients will be delivered through Altius, with transition for support expected to occur in Q2 2022.
BIG DATA MANAGEMENT
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.
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.
BIG DATA MANAGEMENT
Clarity AI | June 01, 2022
Clarity AI, the global sustainability tech platform, announced today that their sustainability data, integrated into BlackRock’s Aladdin platform, is being utilized in preparation for BlackRock’s enterprise reporting for the Sustainable Finance Disclosure Regulation (SFDR) framework. BlackRock will leverage Clarity AI capabilities, data and expertise to facilitate efficient and accurate reporting on Principal Adverse Impact (PAI) indicators. PAI indicators are a set of specific ESG metrics mandated by the European Union as part of SFDR, which imposes granular sustainability disclosure obligations for asset managers and other financial market participants.
“We are thrilled to deepen our client relationship with BlackRock. “As part of our comprehensive sustainability tech kit, we are uniquely positioned in the market to deliver everything required for regulatory reporting, including SFDR, EU Taxonomy, UK Taxonomy, TCFD and MiFID II. Financial market participants of any size can leverage these capabilities via custom, easy integrations or our off-the-shelf web app.”
Rebeca Minguela, Founder & CEO of Clarity AI
Clarity AI’s market-leading SFDR coverage encompasses more than 49,000 companies, and its capabilities allow for portfolio aggregation and multi-asset look-through to more than 220,000 funds, including ETFs. All data is fully granular, which allows for better understanding of underlying calculations for each SFDR PAI. Should they choose to, financial market participants will be able to access these capabilities and data within their own configuration of Aladdin and leverage them as an input according to their own portfolio and reporting needs.
"Deepening our partnership with Clarity AI is an exciting step forward for BlackRock and will provide us the ability to offer Aladdin users enterprise level reporting for SFDR,” said Stéphane Lapiquonne, Managing Director at BlackRock and Head of Sustainability for Europe, Middle East and Africa. “The depth and transparency behind Clarity AI data can help Aladdin users better understand exposures to the PAI metrics across their portfolios.”
About Clarity AI
Clarity AI is a sustainability technology platform that uses machine learning and big data to deliver environmental and social insights to investors, organizations, and consumers. As of May 2022, Clarity AI’s platform analyzes more than 49,000 companies, 220,000 funds, 198 countries and 188 local governments, and delivers data and analytics for investing, corporate research and reporting. Clarity AI has offices in North America, Europe and the Middle East, and its client network manages tens of trillions in assets under management. Clarity AI’s minority investors include, but are not limited to, Deutsche Börse, BlackRock, and SoftBank.
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.”
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