Connect with us

Artificial Intelligence

Klue Raises $15M as Companies Clamor for Platform to Collect, Curate and Distribute Competitive Insights

Published

on

artificial intelligence

David Sacks’ Craft Ventures Leads Round; Cisco, SAP, Shopify, and Over a Hundred More Sign On

Klue, the AI-powered competitive enablement platform, announced a $15 million Series A funding round led by Craft Ventures with participation from HWVP, existing investors OMERS Ventures, Rhino Ventures, and BDC Ventures, and several notable angel investors including Frederic Kerrest (co-founder of Okta) and Zach Coelius (top Angelist syndicate). The investment, which brings the company’s total funding to $19 million, will accelerate product and machine learning development and be used to meet the growing demand for competitive enablement.

Klue helps companies collect and curate hard to find competitive intelligence, combining the best of what the web knows about your competition with the best of what your employees know into a single repository. This combined source of trusted and actionable insights gives sales, marketing, product, strategy and executive teams a substantial edge over the competition.

“There is a huge greenfield opportunity in competitive enablement and Klue is defining the category,” said David Sacks, co-founder and general partner at Craft Ventures. “Stagnant competitive intel decks and wikis are no longer sufficient. Businesses need to collect, curate and distribute competitive insights in real-time to stay ahead. This is why some of the world’s largest technology companies have turned to Klue.”

The investment comes on the heels of three years of 3X revenue growth and reflects strong demand for Klue’s Competitive Enablement Platform. As competition increases across every sector and disruption cycles move from years to months, enabling every department in the company to outmaneuver the competition is critical. Klue’s unique approach to competitive enablement has fueled rapid growth, securing more than a hundred marquee customers like Cisco, Tableau, SurveyMonkey, Red Hat and Shopify, cementing it’s lead as the software of choice for enterprises.

“Every company in the world has two things in common – customers and competitors, yet there is no system of record on competitors,” said Jason Smith, CEO and co-founder of Klue. “30% of enterprise deals are lost directly to a competitor. That stings. Klue is a confidence building weapon for sales and an efficiency engine for the teams who enable them.”

Failure to differentiate from the competition is the biggest driver of losing new deals and existing customers. According to Gartner*, 52% of technology buyers find it difficult to understand vendor differentiation. Companies are using Klue to arm their revenue teams with battlecards to de-position competitors effectively – responding to the need to protect their existing customer base against competitive threats and ensure their sales teams have every advantage against hungry competitors who are aggressively chasing opportunities.

“In today’s dynamic competitive landscape, equipping sellers with the actionable competitive insights they need to compete confidently and win is a significant challenge. Cisco chose Klue to help us centralize competitive intelligence across our diverse global sales organization,” said Stefan Eller, Director, Worldwide Competitive Intelligence at Cisco. “Klue enables us to bring together market data, internal research and expertise which provides sellers and leaders alike a robust hierarchical repository of competitive data that’s easy to search and distribute. And because it’s accessible seamlessly through the sales tools they already use, it’s extremely intuitive. With over 30,000 Klue sessions in FY20, the program is off to a successful start.”

Artificial Intelligence

IBM Joins Forces With Nielsen Global Consumer Business To Expand Data Targeting Offerings For Marketers

Published

on

IBM Joins Forces With Nielsen Global Consumer Business To Expand Data Targeting Offerings For Marketers

IBM (NYSE: IBM) today announced the launch of Watson Advertising Weather Targeting, a new suite of triggers designed for marketers to help them make the connection between weather and product sales actionable at scale without the use of third-party cookies or identifiers. The offering supports new advertising targeting triggers powered by Nielsen. Facilitated through the Nielsen Connect Partner Network, the largest open ecosystem of solution providers for retailers and manufacturers in the consumer packaged goods (CPG) industry, these new triggers leverage IBM Watson to aggregate and analyze large and complex data sets like weather and product sales to create more effective and efficient targeting opportunities while addressing new privacy standards. As part of their collaboration, IBM and Nielsen (NYSE: NLSN), through its Global Consumer business, will work together to combine the power of weather insights from The Weather Company with Nielsen’s Retail Measurement Services (RMS) data to generate future reports for marketers.

“As we prepare for a future without third-party identifiers, it’s critical that the industry put consumers at the center and rely on advanced technologies like artificial intelligence to help make sense of massive amounts of structured and unstructured data with a privacy-first mandate,” said Bob Lord, SVP, Cognitive Applications, Blockchain and Ecosystems, IBM.

He added, “IBM and Nielsen have long been guided by the trust we build between clients and customers. We open up our technologies to make the ecosystem work for consumers and now more than ever, we must come together to help brands effectively leverage the medium while doing right by their audiences.”

Watson Advertising Weather Targeting leverages enterprise-grade AI to analyze over 500 advertising triggers with up to six variables per trigger across 42,000 zip codes every hour, increasing the amount of actionable insights the company generates for brands. With this collaboration, IBM Watson Advertising will introduce a new suite of triggers and insight reports that will harness Nielsen’s RMS data and weather from IBM’s The Weather Company to provide brands with actionable advertising solutions that do not rely on personally identifiable information, third-party cookies or identifiers.

The solution is designed to help brands:

  • Anticipate and activate digital campaigns based on weather’s influence on consumer behavior and emotion according to zip code.
  • Improve effectiveness by automatically serving meaningful, relevant ads to consumers.
  • Reduce media waste by triggering messages only when and where consumers might appreciate the brand message and find it to be relevant.

The targeting solution will be available across the digital advertising ecosystem, including programmatic, display, social, search, video, email and digital out-of-home.

“IBM has long served as a leader in driving value from advanced technology, and in joining forces, we are further strengthening our Nielsen Connect Partner Network as an ecosystem of tech-forward partners to empower our CPG clients,” said Johan Sjöstrand, Global President, Retail Intelligence, Nielsen. “The combined weight of IBM’s weather intelligence and actionable AI with our expansive read into consumer purchasing habits will provide marketers with a clearer roadmap in the face of ever-changing patterns.”

The Weather Targeting data tool is part of a suite of AI-driven targeting solutions. Most recently, IBM Watson Advertising used the technology to assist with the COVID-19 pandemic by enabling brands to run relevant and locally sensitive digital ads based on fluctuating infection rates. This effort was done in combination with The Weather Channel’s COVID-19 tracker that was distributed across properties to provide Americans with general public health and safety information in the face of the global pandemic.

About IBM and Artificial Intelligence

A world leader in AI software, services, and technology for business, IBM has deployed Watson AI solutions in thousands of engagements with clients across 20 industries and 80 countries. IBM’s Watson AI solutions are widely used in industries, including seven of the 10 largest automotive companies and eight of the 10 largest oil and gas companies. For more information about IBM, visit ibm.com.

About Nielsen

Nielsen Holdings plc (NYSE: NLSN) is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. Nielsen is divided into two business units. Nielsen Global Media provides media and advertising industries with unbiased and reliable metrics that create a shared understanding of the industry required for markets to function. Nielsen Global Connect provides consumer packaged goods manufacturers and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary Nielsen data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.

Continue Reading

Artificial Intelligence

Thought Leadership: New Brainstorm® AI Model Boosts Gap Savings

Published

on

Thought Leadership: New Brainstorm® AI Model Boosts Gap Savings

LOUISVILLE, Ky., Sept. 14, 2020 — Brainstorm® AI Studio is designed to keep major health plans, PBMs, government entities, and provider health systems who are responsible for billions of dollars in annual expenditures at the forefront in applying machine learning and AI tools.

Certilytics recently released the Sub-Population Algorithm, which calculates the financial impact of closing Gaps In Care (GIC) for specific, comorbidity-based sub-populations. This model allows clinical care management resources to be assigned to prioritized patients based on the potential impact of specific clinical interventions. Closing GIC deviations from evidence-based best practices is widely regarded as a key step in achieving improved clinical and financial outcomes.

Most individual member clinical care management and broader population health management programs are challenged by the fact that, as our research has shown, GIC closure results in minimal net savings over a one-to-three-year horizon. Gap closure increases immediate medical costs and the benefits tend to be achieved over a longer period of measurement.

The challenge is to discover and predict those GIC that, if closed on an immediate basis, might yield significant short-term net financial savings. Investigating key comorbidities was important in the model design. The entire GIC analytic feature is a component of the proprietary Opportunity Framework that clients have deployed to integrate financial savings opportunities directly to specific clinical interventions.

“There is no question that closing GIC is clinically important,” said Robert Dwyer, PhD., Chief Data Scientist. “But identifying the financial impact—especially in the short-term—has been problematic. We discovered multiple confounding factors that may also affect financial metrics, thereby obscuring the effect of closing the GIC. We hypothesized that we could better identify immediate financial impact by focusing on clinical sub-populations. The key advance in developing the model was discovering the importance of sorting to those sub-populations that were ‘impactable.’ The Sub-Population Algorithm used causal modeling algorithms and machine learning to identify sub-populations where GIC closures could generate current-year savings.”

A key test case used one GIC—statin use in patients with diabetes. Clinical best practices indicate diabetics age 40 to 75 should be on statin medications to decrease the risk of cardiovascular disease, which has a higher prevalence among those with insulin resistance.

The Sub-Population Algorithm showed significant, positive net financial savings within a one-year time horizon for two sub-populations: patients taking (a) cholesterol-lowering medications and (b) blood clot prevention medications. Both sub-populations, therefore, comprise additional cardiovascular risk. For such patients, appropriate use of statins may be particularly important in decreasing the short-term probability of acute coronary events.

“Identifying the relative priorities of particular sub-populations within large disease cohorts, such as diabetes, allows for high-impact interventions in those who are likely to benefit most,” said Certilytics Pharmacy Data Analyst Amy Corder, PharmD, BCPS, BCGP. “By placing an increased emphasis on these sub-populations, clinical care managers have the potential to make their populations healthier while also achieving financial savings through reduced medical costs.”

“Value-based care contracts tend to provide external financial incentives to improve quality,” added Dr. Dwyer. “With the Sub-Population Algorithm, we’re able to show that there are intrinsic financial incentives to improve quality and achieve real, in-year savings—timing relevant to plan renewal cycles.”

Continue Reading

Artificial Intelligence

EdgeVerve's Nia DocAI to assist organizations unlock intelligence from enterprise documents to amplify business value

Published

on

EdgeVerve's Nia DocAI to assist organizations unlock intelligence from enterprise documents to amplify business value

EdgeVerve Systems, a wholly-owned subsidiary of Infosys, recently launched Nia DocAI – v 2.1, its document extraction, processing, and comprehension platform. Nia DocAI, an offering of Infosys Nia, leverages advanced AI technologies, including Computer Vision and NLP, to assist customers across industries extract and consume information from complex enterprise documents, thus accelerating business outcomes.

Today’s enterprises are sitting on a gold mine of data. Industry reports suggest, more than 80% of this data is locked in unstructured documents. Hidden intelligence in these enterprise documents can lead to cost savings, reduced turnaround time, improved decision-making skills, regulatory compliance as well as reduced business risks unforeseeable due to the nature of the data.

Nia DocAI structures world’s complex multi-document data and makes it useful and business consumption ready. It not only extracts information from complex text and visual documents but also enhances the output with contextual information, thereby enabling in advanced NLP based search and insights.

The Nia DocAI 2.1 goes beyond OCR to process handwriting, differentiate between signatures and scribbles, work with various layouts, tables and page breaks. It even comes equipped with the ability to establish relationship between multiple documents. Through pre-trained solutions, it addresses complex use cases such as sell-side/procurement contract processing, contractual risk identification among others. Nia DocAI is an enterprise-grade platform that focusses on ease of use, enterprise scale, security, flexible deployment and more. It will enable enterprises to unlock entrenched business value hidden in unstructured documents.

Continue Reading

Trending

Copyright © 2020. All Biz Post