Archive for the ‘News’ Category

Analytics In M&A – Avoid Overpaying for Revenue

Wednesday, November 5th, 2014

“New, fast, desktop analytics tools enable CEOs to measure top line impact of acquisitions during due diligence, avoiding revenue misses and integration problems after closing.  We can now complete the analysis and publish a dashboard to a CEO’s desktop during due diligence while there is still time to negotiate.” Says KDD Analytics President, Dr. Duffy-Deno.

Driven by the need for better insight into vast amounts of customer information in websites, market surveys, company profiles, sales reports, emails and research reports, KDD Analytics (KDD) has been partnering with ai-one to create innovative ways to visualize this data in Tableau dashboards.

When KDD showed us ZIP Pointe© and told us the story of the CEO in the following presentation, we knew he had a winner.

 

Any CEO or management team that’s been through the M&A process knows how difficult it is to analyze the target’s revenue in the brief and stressed period of due diligence.  ZIP Pointe© provides the insight you would expect from a SOR enterprise solution within the time and cost constraints of M&A.  A CEO can’t afford not to use it.

Developed for CMOs and CSOs on a tight budget trying to meet planning deadlines, KDD’s new SaaS offering, ZIP Pointe© is used to analyze and size geographic markets down to the 6-digit NAICS level.  And with the custom integration of customer data, it can be used to profile customers, estimate market and wallet share, identify specific market segments of high spend potential and generate a list of ZIP codes sorted by opportunity for targeting purposes.

ZIP Pointe© summarizes and enhances US Census Bureau data for over 7 million private sector business sites with paid employees across the US.  This data is enhanced with estimates of revenue and payroll per site and measure(s) of potential spend per site (what companies could spend on software for example).  The data is reformatted and displayed online in an interactive Tableau dashboard.

Integration of customer data in ZIP Pointe© allows for customer base profiling, estimation of market and wallet share, identification of whether the correct segments are being targeted in terms of revenue and potential spend per site and the degree of success in penetrating specific markets.  When used to support M&A due diligence, integration of the target customer base immediately shows how it aligns (or doesn’t) with current customers and expectations.

ZIP Pointe© is offered on an annual subscription basis at a very affordable $1,999 or $2,999 per user, depending on desired capabilities.  Integration of customer data adds a one-time cost, the amount of which depends on whether firmographics need to be appended to the customer file.  In the case of an M&A application, the total cost would likely be $5,000 to $10,000, a steal when acquisition costs are in the millions.  Check out ZIP Pointe© at http://kddanalytics.com/zippointe.html.

KDD provides expertise in predictive analytics and Tableau visualizations, with domain specialization in B2B quantitative marketing analytics.  If you’re looking to attack your growth plan for 2015 backed by powerful marketing analytics, or need analytical support for M&A due diligence, contact Dr. Duffy-Deno at info@kddanalytics.com or give me a call and I’ll introduce you.

Tom

Personal AI Helps Convert Social CRM for Recruiting

Thursday, June 26th, 2014

Given the need for more effective content marketing and better quality lead generation, why aren’t the tools better?  Certainly there are lots of applications, SaaS products and services available for all parts of the marketing and sales process.   With BrainBrowser we provide a tool that can understand the content from marketing and match it to bloggers, LinkedIn connections, Twitter followers and find candidates in places you would never look.

Since about one-third of the 7,500+ queries by our testers were using BrainBrowser to search for people, a key objective is to add features to manage the results and integrate them into your workflow.  If you find someone relevant to your work or a potential recruit, you should be able to connect with them right from the list, follow them on Twitter or share lists of candidates with collaborators.

BrainBrowser with Nimble Popup

As a recruiting professional your task is to find the candidates and conversations on the web where conversions will be maximized and get there first.  BrainBrowser does this for you, creating a list of people, companies and sites that match the content of your position and company description.

As a sales professional, you want to use content, either from your marketing department or content you find and create on your own, to engage your network and to identify the people that are talking about and responsible for buying/influencing a purchase.

In our research (using BrainBrowser) we discovered Nimble and a new category of Social CRM vendors with applications driving social selling (check out Gerry Moran’s post for background on content and social selling).  We were immediately hooked and started using Nimble as our company CRM but quickly found it worked well for managing lists of candidates.

Nimble, a new social CRM application, has made integration easy and I’m recommending it to everyone.  All you need to do is sign up for the trial (its only $15 per month if you like it) and install the plug in in your Chrome browser.  You’ll then be able to highlight the name of the person on the list in BrainBrowser, right click, select the Nimble Search and a popup will display the person’s social media pages in LinkedIn, Twitter, Google+ etc.  Click Save and you’ve added them to your Nimble Contacts where you can then view their social media messages, profile and decide whether to connect or follow.   Tag them and you’ve creating a recruiting hot list you can track in Nimble.

Here’s a video clip I tweeted to CEO Jon Ferrara demonstrating how/why we love it.  This was in response to his video clip to Larry Nipon following up on my referral.

Let me know how you like it.  They do a great job but if you have any questions on the difference between CRM and Social CRM, and how we’re using it for recruiting.  Be sure to add @ai_one or @tom_semantic if you tweet about this and sign up to request a login for BrainBrowser.

As of today, there are only 22 slots left for FREE registrations under the Alpha test program.  Participation gets you a year free on the platform.  Email or tweet @tom_semantic to sign up.

Context, Graphs and the Future of Computing

Friday, June 20th, 2014

Robert Scoble and Shel Israel’s latest book, Age of Context, is a survey of the contributions across the globe to the forces influencing technology and our lives today.  The five forces are mobile, social media, data, sensors and location.  Scoble calls these the five forces of context and harnessed, they are the future of computing.

Pete Mortensen also addressed context in his brilliant May 2013 article in Fast Company “The Future of Technology Isn’t Mobile, It’s Contextual.”   So why is context so important (and difficult)?  First, context is fundamental to our ability to understand the text we’re reading and the world we live in.  In semantics, there is the meaning of the words in the sentence, the context of the page, chapter, book and prior works or conversations, but also the context the reader’s education and experience add to the understanding.  As a computing problem, this is the domain of text analytics.

Second, if you broaden the discussion as Mortensen does to personal intelligent agents (Siri, Google Now), the bigger challenge is complexity.  Inability to understand context has always made it difficult for computers and people to work together.  People and the language we use to describe our world is complex, not mathematical, You can’t be reduced to a formula or rule set, no matter how much data is crunched. Mortensen argues (and we agree) that the five forces are finally giving computers the foundational information needed to understand “your context” and that context is expressed in four data graphs.  These data graphs are

  • Social (friends, family and colleagues),
  • Interest (likes & purchases),
  • Behavior (what you do & where) and
  • Personal (beliefs & values).

While Google Glass might be the poster child of a contextual UX, ai-one has the technology to power these experiences by extracting Mortensen’s graphs from the volumes of complex data generated by each of us through our use of digital devices and interaction with increasing numbers of sensors known as the Internet of Things (IoT).  The Nathan API is already being used to process and store unstructured text and deliver a representation of that knowledge in the form of a graph.  This approach is being used today in our BrainDocs product for eDiscovery and compliance.

Age of Context by Scoble and IsraelIn Age of Context, ai-one is pleased to be recognized as a new technology addressing the demands of these new types of data.  The data and the applications that use them are no longer stored in silos where only domain experts can access them.  With Nathan the data space learns from the content, delivering a more relevant contextual response to applications in real time with user interfaces that are multi-sensory, human and intuitive.

We provide developers this new capability in a RESTful API. In addition to extracting graphs from user data, they can build biologically inspired intelligent agents they can train and embed in intelligent architectures.   Our new Nathan is enriched with NLP in a new Python middleware that allows us to reach more OEM developers.  Running in the cloud and integrated with big data sources and ecosystems of existing APIs and applications, developers can quickly create and test new applications or add intelligence to old ones.

For end users, the Analyst Toolbox (BrainBrowser and BrainDocs) demonstrates the value proposition of our new form of artificial intelligence and shows developers how Nathan can be used with other technologies to solve language problems.  While we will continue to roll out new features to this SaaS offering for researchers, marketers, government and compliance professionals, the APIs driving the applications will be available to developers.

Mortensen closes, “Within a decade, contextual computing will be the dominant paradigm in technology.”  But how?  That’s where ai-one delivers.  In coming posts we will discuss some of the intelligent architectures built with the Nathan API.

ai-one Contributes to ETH Publication on Knowledge Representation

Tuesday, June 3rd, 2014

We are pleased to announce the availability of the following publication from prestigious ETH University in Zurich.  This book will be a valuable resource to developers, data scientists, search and knowledge management educators and practitioners trying to deal with the massive amounts of information in both public and private data sources.  We are proud to have our contribution to the field acknowledged in this way.

Knowledge Organization and Representation with Digital Technologies

http://www.degruyter.com/view/product/205460  |  ISBN: 978-3-11-031281-2

ai-one was invited to contribute as co-author to a chapter in this technical book.

ETH Publication- Knowledge RepresentationIn the anthology readers will find very different conceptual and technological methods for modeling and digital representation of knowledge for knowledge organizations (universities, research institutes and educational institutions), and companies based on practical examples presented in a synopsis. Both basic models of the organization of knowledge and technical implementations are discussed including their limitations and difficulties in practice.  In particular the areas of knowledge representation and the semantic web are explored. Best practice examples and successful application scenarios provide the reader with a knowledge repository and a guide for the implementation of their own projects. The following topics are covered in the articles:

  •  hypertext-based knowledge management
  • digital optimization of the proven analog technology of the list box
  • innovative knowledge organization using social media
  • search process visualization for digital libraries
  • semantic events and visualization of knowledge
  • ontological mind maps and knowledge maps
  • intelligent semantic knowledge processing systems
  • fundamentals of computer-based knowledge organization and integration

The book also includes coding medical diagnoses, contributions to the automated creation of records management models, business fundamentals of computer-aided knowledge organization and integration, the concept of mega regions to support of search processes and the management of print publications in libraries.

Available in German only at this time.

Wissensorganisation und -repräsentation mit digitalen Technologien

http://www.degruyter.com/view/product/205460  |  ISBN: 978-3-11-031281-2

ai-one war eigeladen worden, als CO-Autor ein Kapitel in diesem Sachbuch beizusteuern.

Im Sammelband werden die sehr unterschiedlichen konzeptionellen und technologischen Verfahren zur Modellierung und digitalen Repräsentation von Wissen in Wissensorganisationen (Hochschulen, Forschungseinrichtungen und Bildungsinstitutionen) sowie in Unternehmen anhand von  praxisorientierten Beispielen in einer Zusammenschau vorgestellt. Dabei werden sowohl grundlegende Modelle der Organisation von Wissen als auch technische Umsetzungsmöglichkeiten sowie deren Grenzen und Schwierigkeiten in der Praxis insbesondere in den Bereichen der Wissensrepräsentation und des Semantic Web ausgelotet. Good practice Beispiele und erfolgreiche Anwendungsszenarien aus der Praxis bieten dem Leser einen Wissensspeicher sowie eine Anleitung zur Realisierung von eigenen Vorhaben. Folgende Themenfelder werden in den Beiträgen behandelt:

  • Hypertextbasiertes Wissensmanagement
  • digitale Optimierung der erprobten analogen Technologie des Zettelkastens
  • innovative Wissensorganisation mittels Social Media
  • Suchprozessvisualisierung für Digitale Bibliotheken
  • semantische Event- und Wissensvisualisierung
  • ontologische Mindmaps und Wissenslandkarten
  • intelligente semantische Wissensverarbeitungssysteme

sowie Grundlagen der computergestützten Wissensorganisation und -integration, das Konzept von Mega-Regionen zur Unterstützung von Suchprozessen und zum Management von Printpublikationen in Bibliotheken, automatisierte Kodierung medizinischer Diagnosen sowie Beiträge zum Records Management zur Modellbildung und Bearbeitung von Geschäftsprozessen.

Using Nathan API Tools for Enhanced Marketing Analytics

Monday, December 30th, 2013

“Customers are not dollars and addresses. No matter how brilliant we slice and dice the data to get a targeted list of prospects, the final steps in the analysis required our clients to read through web pages and reports to qualify prospects. Now we can speed up that process and help with the tactical customer discovery process.” Says KDD Analytics President, Dr. Duffy-Deno.

The first time we worked with KDD, we had taken several thousand book reviews from Amazon and built two intelligent agents, one for favorable and one for critical reviews. We used a BrainDocs prototype application to fingerprint and analyze the reviews, returning a similarity score for each agent per review. We weren’t even sure what the data told us until KDD produced a Tableau visualization that showed a clear relationship between a high “helpful rating” and a favorable review.

KDD’s expertise and the power of this interactive dashboard told us we were on to something big. Analysts could create a set of agents for any concept they felt were relevant and visually classify and filter the contents of vast sets of documents in minutes. Big data just got a little easier to deal with.

KDD provides expertise in predictive analytics and Tableau visualizations, dashboards and data discovery. KDD, www.kddanalytics.com, specializes in quantitative marketing analytics: B2B, B2C and B2D analysis of marketing and sales database information.

KDD has been partnering with ai-one to refine methods for mining and converting unstructured text for use in their Tableau dashboards. Driven by the need for better insight into vast amounts of customer information in websites, market surveys, company profiles, sales reports, emails and research reports, KDD used our Analyst Toolbox to create innovative ways to visualize this data.

For a good overview of their work, KDD Analytics just released a 2014 Capabilities Deck. If you’re looking to attack your growth plan for 2014 backed by powerful marketing analytics, contact KDD at info@kddanalytics.com.

Visit ai-one’s site at www.analyst-toolbox.com for the launch of the Analyst Toolbox BrainBrowser tool for high speed web and people research. Prerelease logins are available free for qualified users.

Olin Hyde Launches Englue, Inc. to Cure Medical Research

Friday, August 9th, 2013

Applying ai-one’s technology to the world’s information problems is an exciting part of our job.  There isn’t a week that goes by without a customer in a new domain experiencing the pain caused by big data and lousy language tools.  While we love the breadth of this challenge, each of us has our favorite problem we would love to focus on to change the world.

For Olin Hyde, our former VP Business Development, it has always been medicine.  He has the intellectual curiosity and bandwidth to understand medicine and its intersection with information technology, and has lobbied for us to focus solely on this market.  Within our partner model, this passion was focused on trying to find and develop an OEM Partner to work with.  Since he couldn’t find one, on August 1st he did what any good entrepreneur would do when he sees a big opportunity, he founded his own company.  His mission for Englue Inc. is to become the ai-one OEM Partner that will change medicine’s approach to research.

Are we bummed he left?  Sure we are.  But he hasn’t left the family and as a partner applying our unique form of biologically inspired intelligence to medical research, we are confident Olin will create a big success story for both of us. This form of intelligence will spawn a huge number of new applications over the next decade.  Olin has been part of a team that has ten years’ experience applying this new form of computing to real application problems giving him a huge competitive advantage.

Building off our new Nathan API and the platform and tools ai-one calls the Analyst Toolbox, Englue will be launching a series of products for the medical researcher that will enable them to fully leverage the vast amount of publications and clinical studies from around the globe.  We look forward to working with Olin and the Englue team and wish him the best of success.

ai-one named Finalist in SDBJ Innovation Awards for 2013

Thursday, June 27th, 2013

At the San Diego Business Journal Annual Innovation Award event, ai-one was named a finalist in the technology category. The award was presented at the prestigious event on June 18th at Scripps, attended by several hundred leaders in San Diego’s tech, medical, software and telecom industries. ai-one received the award for its leading edge technology in machine learning and content analytics, as evidenced by the release this year of the new Nathan API for deep learning applications.

The award was accepted by ai-one COO Tom Marsh and partner for defense and intelligence, Steve Dufour, CEO of ISC Consulting of Arizona.

Tom Marsh & Steve Dufour at SDBJ Innovation Awards

Tom Marsh & Steve Dufour at SDBJ Innovation Awards

Ai-one’s Artificial Brain’ Has a Real Eye for Data SDBJ

TECH: Software Can Dig Through and Decipher Information

Software writer ai-one Inc. doesn’t just promise code. The company promises to pull new perspectives and second opinions from seemingly inscrutable data.

SDDT recognizes ai-one’s presentation at CommNexus to SK Telecom of North Korea

Thursday, June 27th, 2013

ai-one was recognized for its participation in the CommNexus MarketLink event June 4th in San Diego California. The event featured companies from all across the US selected by SK Telecom for their potential to add value to SK Telecom’s network. The meeting was also attended by SK’s venture group based in Silicon Valley.
 
Tierney Plumb of the San Diego Daily Transcript reported, “San Diego-based ai-one inc. pitched its offerings Tuesday to the mobile operator. The company, which has discovered a form of biologically inspired neural computing that processes language and learns the way the brain does, was looking for two investments — each about $3 million — from SK. One is a next-generation Deep Personalization Project whose goal is to create an intimate personal agent while providing the user with total privacy control. ”
 
For the full text of this article click  San Diego Source _ Technology _ Startups line up to meet with SK Telecom