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.
Vertica | June 08, 2022
Vertica, a Micro Focus line of business, today announced the release of version 12 of the Vertica analytical database. Vertica 12 includes new major features and enhancements for analytics and machine learning across multi-cloud, hybrid on-premises and cloud, and multi-regional deployments.
The announcement was made during Vertica Unify 2022, the organization's annual user conference, where attendees learned that Vertica 12 users can now choose from the broadest range of deployment options on the market, with improved automation capabilities as well, to future-proof analytics against constantly changing technology requirements.
"While many companies are being forced to choose their analytics deployment strategy, to commit to one thing –public cloud, on-premises, or hybrid –no one knows exactly what the future may hold. "With Vertica 12, we have developed a completely flexible platform that is seamlessly hybrid. It is as capable of deploying in a SaaS model as it is on-premises. The continuous advancement of our analytical capabilities means that no matter what your future data strategies may hold, Vertica brings powerful analytics to your data."
Scott Richards, Senior Vice President and General Manager, Vertica at Micro Focus
In addition to supporting more on-premises object stores, Vertica 12 expands its Kubernetes support beyond AWS S3 to Google Cloud Storage (GCS), Azure Blob Storage and Hadoop Distributed Filesystem Storage (HDFS), making it fully cloud-native in any environment. Vertica's cloud-optimized architecture also has been enhanced with intelligent subclustering to better manage variable workloads and data sharing, helping to assign costs to owners in a logical way.
On the integration front, Vertica 12 increases the interaction with the data analytics ecosystem. Customers will benefit because key proprietary and open-source technologies work seamlessly, including a new version of VerticaPy, the Vertica Python and Jupyter Notebook interface, as well as an enhanced Spark connector and broadened PMML support.
The core analytical database within the Micro Focus software portfolio, Vertica is the Unified Analytics Platform, based on a massively scalable architecture with the broadest set of analytical functions spanning event and time series, pattern matching, geospatial, and end-to-end in-database machine learning. Vertica enables many customers – from Agoda to Philips to many others – to easily apply these powerful functions to the largest and most demanding analytical workloads, arming businesses and their customers with predictive business insights faster than any analytical database or data warehouse in the market.
BIG DATA MANAGEMENT
Nullafi | May 31, 2022
Nullafi, a fast-growing provider of data security software, today announced the general availability of Nullafi Shield, an agentless, Zero Trust data security solution that sits between applications and endpoints, tying in with existing network technology in order to redact data across applications. Nullafi intelligently recognizes and obfuscates sensitive data in transit before it gets to the user's device, no matter where it originates, what field it's in, or how it's labeled.
Nullafi was co-founded by Robert Yoskowitz, CEO, and Elder Santos, CTO. Cameron Smith, formerly of Gigamon, has joined as VP of Product, and Walter Specht has joined as VP of Channel Sales.
The company is supported by a world-class board of advisors, including Chase Cunningham, Chief Strategy Officer, Ericom; Simon Moffatt, Founder and Analyst, The Cyber Hut; Jason Stutt, SVP Global Sales, Virsec; Steven Hua, VP of Marketing, BetterCloud; and Becca Chambers, Senior Vice President Global Brand and Communications, Corel.
"The sudden shift to remote work and the unprecedented increase in the number of business applications used daily has created unfettered and unmanaged access to sensitive data in plain text. Simply put, companies have completely lost control over who can see what data, and where — it's a mess. If you can't answer the basic question of who is allowed to see what types of data while they're doing their jobs, regardless of the applications they are using, that's a big problem. "It's the problem we built our solution to address in a new way. We wanted to bring a solution to market that was agnostic for applications, data sources, and data types. A solution that could protect employee and third-party access and could be set up and maintained quickly and easily. I couldn't be prouder of the incredible innovations that the Nullafi team has created to accomplish this goal."
Robert Yoskowitz, Co-founder and CEO of Nullafi
Because Nullafi Shield operates at the network level, it can work with any application, any data, anytime, anywhere, with no application integrations or endpoint deployments needed. With less than a 15-minute setup, customers can detect and redact sensitive data to solve data privacy, security, and access challenges. And because the software runs in clients' own environments, there's no need to worry about latency, third-party data risk, or downtime.
In recognition of its innovation, Nullafi has been awarded eight patents from the United States Patent & Trademark Office (USPTO). These include inventions for desensitizing dynamic data, methods of continuously monitoring data integrity, as well as inventions that cover containing and nullifying the impact of data loss events.
"No vendor had an intelligent, Zero Trust approach to the problem of data security until I saw Nullafi," said Chase Cunningham, a former Forrester Research analyst who is an advisor to Nullafi and Chief Strategy Officer of Ericom. "Cybersecurity is ultimately about data protection. Data is what hackers steal; it's what brings down companies. Nullafi offers the approach to the problem, removing the risk from data compromises across the kill chain."
Nullafi is a fast-growing provider of data security software that helps customers quickly, easily, and comprehensively detect and redact sensitive data, automate policy enforcement, and eliminate risks such as data leakage, inadvertent access, and improper downloading — all while allowing business to continue without interruption. With Nullafi, users see only the data they need to see, giving organizations unprecedented control. The company serves primarily mid-market companies, technology resellers, and application developers in North America and is privately funded by angel investors. With rave reviews from analysts, multiple patents granted, and key partnerships already established, Nullafi is well-positioned to transform data security as we know it.
Atlan | June 24, 2022
Atlan, the active metadata platform for modern data teams, today announced that it has been recognized as a leader in The Forrester Wave™: Enterprise Data Catalogs for DataOps, Q2 2022. Atlan received the highest score in the current offering and strategy categories.
According to the report, “Atlan is the tool of choice for DataOps and data product deployment. Atlan’s vision is to create frictionless data product deployment through a single metadata and data automation platform. The tool was built by data engineers and for data engineers… As a result, Atlan maintains a strong focus for continued innovation in this metadata-driven data and application ecosystem.”
The Forrester Wave™ assessment evaluated 14 of the most significant enterprise data catalogs across 26 evaluation criteria. The evaluation is a culmination of rigorous, fact-based research, with a view of the relative positions and key differentiation of the top vendors in the market. Atlan received the highest score possible in 17 criteria, including Product Vision, Market Approach, Innovation Roadmap, Performance, and Connectivity, Interoperability, and Portability.
“We’re excited to be named a Leader in this Forrester Wave report. “We believe this validates our place as a pioneer of active metadata and a leader in this space.”
Prukalpa Sankar, Co-founder of Atlan
The Forrester Wave™ report states: “Atlan is more than metadata and data governance, standing out from the competition… Extensive integration makes data sharing easy, flexible, and scalable within hybrid distributed ecosystems for analytics and operational use cases.”
Just three years since its launch, Atlan is the tool of choice for DataOps and data product deployment for a growing list of customers, including WeWork, Plaid, Postman, Scripps Health, TechStyle, SnapCommerce, Delhivery, and Belcorp.
“Atlan is pushing the boundary from a DataOps standpoint,” said Venkat Gopalan, Chief Digital Officer at Belcorp. “You’re disrupting the industry by thinking differently. That’s the core essence of Atlan.”
“Our platform has been designed as more than a traditional data cataloging or a data governance tool,” said Varun Banka, Co-founder of Atlan. “It was built by a data team for the evolving needs of data teams, including transparent data flow and delivery, easy-to-use experience for every data user, and open infrastructure. We can’t wait to continue innovating and bringing the latest in active metadata to modern companies around the world.”
This recognition comes on the heels of other big news for Atlan — becoming the first data catalog validated as a Snowflake Ready Technology Partner; winning the MDS Rocketship Award for Data Discovery; and being named as a Gartner Cool Vendor in DataOps and in the inaugural Market Guide for Metadata Management.
Built by a data team for data teams, Atlan is the active metadata platform for modern data teams. Atlan creates a single source of truth by acting as a collaborative workspace for data teams and bringing context back into the tools where data teams live. Atlan features deep integrations across the modern data stack, including Slack, Snowflake, dbt, Redshift, Looker, Sisense, and Tableau. A pioneer in the space, Atlan was recognized by Gartner seven times in 2021, including as a Cool Vendor in DataOps and in the Inaugural Market Guide for Active Metadata Management.