Data Mining Techniques Could Improve Cancer Gene Therapies

healthitanalytics.com | February 10, 2020

A team of scientists from Purdue University and other research institutions around the world leveraged data mining techniques to better understand trends in the gene therapy field in respect to nonviral vectors.With the global gene therapy market expected to reach $13 billion by 2024, researchers are seeking to understand as much as they can about how these treatment can target cancer and other diseases.Purdue scientists joined forced with researchers from around the globe to learn more about the increasing number of worldwide patented innovations available for gene therapy treatment. The team focused specifically on nonviral methods, which use synthetic or natural compounds or physical forces to deliver materials that are generally less toxic than their viral counterparts into therapy treatments. The possibility of using nonviral vectors for gene therapy represents one of the most interesting and intriguing fields of gene therapy research,said Marxa Figueiredo, an associate professor of basic medical sciences in Purdue’s College of Veterinary Medicine, who helped lead the research team and works with the Purdue Research Foundation Office of Technology Commercialization to patent her technologies related to health.

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This paper focuses on the specific problem of Big Data classification of network intrusion traffic. It discusses the system challenges presented by the Big Data problems associated with network intrusion prediction. T


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DATA SCIENCE

CompleteCSM Launches First Customer Intelligence Cloud for Customer Success Operations and Data Science Teams

CompleteCSM | May 16, 2022

CompleteCSM, Inc., a rapidly growing software company that democratizes Customer Success Intelligence, announced the release of its new Customer Intelligence Cloud, just in time for the TSIA world: Interact conference in Orlando, Florida. The new solution provides Customer Success teams with greater access to the customer intent data from the conversations between people tucked away within their various data silos and is specifically aimed at closing the ‘intent gap’ between a customer’s true opinion of their subscription and the SaaS company's perception in terms of R/Y/G healthThe value of Customer Success is no longer a secret. According to TSIA, 96% of SaaS businesses are deploying some form of customer success team or strategy for retaining and growing their customer base. "Customer Success platforms have become indispensable for managing the customers’ relationship with a company’s product, As good as these platforms have become at tracking and managing customer usage and health, they all potentially leave terabytes of valuable customer data on the floor and out of their calculations that could be used to better predict churn or potential expansion." -Bryan Plaster, co-founder and CEO of CompleteCSM Everyone can have their own Customer Intelligence Cloud Leading Customer Success organizations are deploying data scientists to unlock the meaning behind customer churn, but it’s taking them longer than expected to get ROI. The CompleteCSM Customer Intelligence Cloud collects signals from customer conversations and applies AI/ML to reveal a customer’s intent to expand or renew. The curated results can be delivered both downstream to data platforms like Snowflake or Databricks, and upstream embedded into Customer Success Platforms like Gainsight or Salesforce as embedded applications. Modern customer success teams that manage their own operations now have massive advantage to increase their Net Revenue Retention (NRR) with the following capabilities: API Access: Accessible through Data Science tools like Jupyter notebooks Customer Intent Data: Delivered to data science platforms Intelligent Integrations: Gong, Zoom, Slack Embedded Integrations: Utilizing your existing CRM "Deep sentiment analysis of conversations, far beyond Net Promoter Score (NPS), will be required for modern Customer Success teams to quickly identify wayward customers and course-correct. The consumption economy will largely leave behind the concept of renewals, forcing companies to broaden into a 4D view of customer health and treat it with an even higher degree of urgency." -Dan Steinman, Chief Evangelist at Gainsight sees CompleteCSM’s Customer Intelligence Cloud as a must-have for all software-as-a-service (SaaS) companies Leading SaaS organizations can harness the power of the Customer Intelligence Cloud to know how their customers feel about renewing or expanding their contracts. The Customer Intelligence Cloud aims to accelerate data science teams to faster ROI by providing time series data analytics from all customer conversations, usage, and operational data accessible from an advanced API. Customer Success teams can now broaden and enhance existing Customer Success Platforms such as Gainsight, Salesforce or Hubspot with insights, seamlessly embedding into the tools teams use on a daily basis. Learn more about the Customer Intelligence Cloud and get started today capturing intent data from your customer conversations! About CompleteCSM Dallas-based CompleteCSM makes Customer Success Intelligent by combining conversational AI with intent analytics to help leading businesses turn customer insights into positive outcomes with next best actions delivered to their CRM or Customer Success Platform.

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DATA SCIENCE

ForMotiv Joins Guidewire Insurtech Vanguards Program to Bring Behavioral Data Science to Guidewire Carriers

ForMotiv | June 13, 2022

ForMotiv, a leading behavioral data science and intent scoring platform, announced that the company has joined Guidewire’s Insurtech Vanguards program, an initiative led by property and casualty (P&C) cloud platform provider Guidewire (NYSE: GWRE), to help insurers learn about the newest insurtechs and how to best leverage them. “We’re excited about this new partnership with Guidewire to continue to expand our reach in insurance,” said Bill Conners, CEO of ForMotiv. “We have worked hard for four-plus years establishing a footprint with leading carriers – and are excited to be a part of Guidewire’s Insurtech Vanguards program.” Insurtech Vanguards is a community of select startups and technology providers that are bringing novel solutions to the P&C industry. As part of the program, Guidewire provides strategic guidance to and advocates for the participating insurtechs, while connecting them with Guidewire’s P&C customers. “ForMotiv’s digital behavioral intelligence solution leverages machine learning to produce data analytics and scoring, enabling insurers to quickly view users’ clickstreams on their apps, which can accelerate underwriting and claims analytics. “We are thrilled to welcome ForMotiv and its innovative technology to our program so our mutual customers can raise the bar in leveraging their user data.” Laura Drabik, chief evangelist, Guidewire With its industry-leading behavioral data capture and intent scoring solution, ForMotiv works with carriers to help them analyze and monitor customer and agent digital behavior while accurately predicting user intent in real-time. ForMotiv provides robust behavioral reporting and analytics as well as a granular behavioral dataset leverageable across multiple departments. Armed with instant intent scoring and deterministic behavioral signaling, carriers can confidently predict buying intent, identify risk and nondisclosure, and expand their accelerated underwriting offerings to genuine users while dynamically intervening on applications requiring further qualification. ForMotiv’s real-time predictive behavioral analytics enable next-generation dynamic experiences, or SmartApps, that adapt to individual users based on their behavior. Its suite of products ranges from robust data capture and behavioral analytics to signaling and intent scoring. Carriers can leverage ForMotiv’s expansive behavioral dataset for both offline and real-time use cases. About ForMotiv ForMotiv is the only Behavioral Science Platform on the market that enables leading insurance companies to accurately and instantly predict user intent, in real-time. Our solution helps carriers improve digital customer & agent experiences, increase conversions, reduce risk & fraud, and more by analyzing users' digital body language (consisting of thousands of behavioral micro-expressions i.e. keystrokes, mouse movements, hesitation, corrections, copy/paste, and 150+ additional user engagement signals) while users engage with digital applications and claims forms to identify genuine, confused, risky or other behavior. Armed with real-time intent intelligence, ForMotiv carrier customers create next-generation dynamic experiences that adapt to individual users based on their intent. ForMotiv works with Marketing, Risk, Fraud, Data Science, Underwriting, Digital Strategy, and Claims teams.

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BIG DATA MANAGEMENT

Kyligence’s Intelligent Data Cloud Platform Now Available on Google Cloud

Kyligence | February 16, 2022

Kyligence, originator of Apache Kylin and developer of the AI-augmented data services and management platform Kyligence Cloud, today announced the beta availability of its intelligent data cloud platform on Google Cloud. Kyligence’s one-stop, cloud-native big data OLAP solution helps data analysts and business users quickly discover the business value in the massive amounts of data in the cloud. Designed and built for today’s cloud, Kyligence Cloud allows enterprise organizations to create fast, flexible, and cost-optimal innovative big data analysis applications on a data lake based on cloud-native computing and storage. With automated model optimization using AI-enhanced semantic modeling based on past analysis, business users can make more informed decisions. Kyligence Cloud can be seamlessly integrated with Google Cloud Storage to help maximize the use of existing cloud assets. “This is a significant step in the evolution of both the Kyligence Cloud and the Google Cloud ecosystem. Having Kyligence’s cloud platform available on Google Cloud, makes it even more seamless for customers around the world to leverage Kyligence to unlock insights faster from big data.” Li Kang, vice president, North America, Kyligence Kyligence’s AI-augmented data services and management platform provides analysts and business users with a unified, governed, and optimized semantic layer. Through multiple interfaces—such as SQL, MDX, and REST APIs—Kyligence Cloud seamlessly connects business applications, popular BI tools, and AI/ML environments, enabling users to work efficiently with familiar tools. Kyligence seamlessly connects to native data sources such as Cloud Storage to get the most out of data on Google Cloud, building a comprehensive Google Cloud big data solution. Kyligence Cloud on Google Cloud is currently in beta. About Kyligence Founded by the creators of Apache Kylin, Kyligence Cloud provides an intelligent analytics performance layer that sits between data sources and BI tools. Kyligence features an AI-Augmented learning engine to ensure peak performance and vastly simplified data modeling. The result is sub-second query response time for BI, SQL, OLAP, and Excel users even against petabytes of data. Kyligence is headquartered in San Jose, CA. Investors include Redpoint Ventures, Cisco, China Broadband Capital, Shunwei Capital, Eight Roads Ventures (the proprietary investment arm of Fidelity International Limited), and Coatue Management. Kyligence serves a global customer base that includes UBS, Costa, Appzen, McDonald’s, YUM, L’OREAL, Porsche, Xactly, China Merchants Bank, and China Construction Bank.

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DATA SCIENCE

Tetra Tech Expands High-end Climate Data Analytics Solutions with Acquisition of Axiom Data Science

Tetra Tech | March 09, 2022

Tetra Tech, Inc. , a leading provider of high-end consulting and engineering services, announced today that it has acquired Axiom Data Science, an industry leader in the management and analysis of oceanic and ecological data associated with climate change. Headquartered in Anchorage, Alaska, Axiom conducts climate science modeling to help clients manage, integrate, and visualize large-scale complex data sets that are essential to addressing climate change. “Tetra Tech leverages digital technology using our Leading with Science® approach to provide clients with sustainable and resilient solutions and support decision-making on projects around the world. The addition of Axiom Data Science expands our high-end advanced analytics capabilities in oceans and ecosystems to advance climate science for clients, including the National Oceanic and Atmospheric Administration and the National Aeronautics and Space Administration.” Dan Batrack, Tetra Tech Chairman and CEO Rob Bochenek, Axiom Founder and CEO, said, “We are honored to join Tetra Tech and work with their exceptional team of scientists and engineers to provide best-in-class data analytics solutions to address climate change impacts. By joining Tetra Tech, we will further enhance our ability to provide highly specialized solutions to our clients, while offering new opportunities for our employees to work on water and environment programs worldwide.” The terms of the acquisition were not disclosed. Axiom Data Science is joining Tetra Tech’s Government Services Group. About Tetra Tech Tetra Tech is a leading provider of high-end consulting and engineering services for projects worldwide. With 21,000 associates working together, Tetra Tech provides clear solutions to complex problems in water, environment, sustainable infrastructure, renewable energy, and international development. We are Leading with Science® to provide sustainable and resilient solutions for our clients. For more information about Tetra Tech, please visit tetratech.com or follow us on LinkedIn, Twitter, and Facebook. About Axiom Data Science Based in Anchorage, Alaska, Axiom Data Science is an informatics and software development firm focused on developing scalable solutions for data management, integration, and visualization. Axiom supports federal, private, academic, and non-governmental organizations in the ecological, geological, and ocean sciences organizations to improve the long-term management and impact of their scientific data resources.

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