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CIOReview Magazine Lists Findability Sciences as Top 20 Most Promising IBM Solution Provider
Stelae Technologies and Findability Sciences join hands to create a powered by IBM Watson solution for content transformation.
Stelae Technologies and Findability Sciences join hands to create a powered by IBM Watson solution for content transformation.
Bangalore, India and Boston, USA – August 2nd, 2016: Stelae Technologies and Findability Sciences announced today that they have entered into a partnership under which Stelae Technologies’ software Khemeia™ will be integrated into the Findability Platform® to acquire unstructured content.
Both Stelae Technologies and Findability Sciences are IBM partners, Findability Platform® uses IBM Watson APIs through IBM Bluemix to create cognitive features that will be enhanced by the use of Khemeia™. Stelae Technologies is the winner of IBM GEP Smart Camp India and APAC in 2014.
Stelae Technologies provides an automated conversion solution for multiple categories of content: Khemeia™ is an AI based technology which transforms unstructured information into structured enriched content ready for indexing. Aruna Schwarz, CEO of Stelae Technologies said,
Khemeia™ is a major enabler of big data analytics which significantly expands the Volume and Variety of data available – now better cognitive and predictive analytics will result from our integration with the Findability Platform®
Khemeia™ allows automated ingestion of unstructured and visually heterogeneous content (like text with images, tables, footnotes, nested lists etc.), where text and semantic tagging are inefficient. The most prevalent transformation is from PDF to full hierarchical XML. Anand Mahurkar, CEO of Findability Sciences said,
We are very excited with the possibilities of working with Stelae technologies. Our solution will revolutionize the content management and research business. Findability Platform® is now uniquely positioned to provide answers from unstructured content by integrating Khemeia™’s capabilities.
Khemeia™ has successfully been implemented in many sectors: law (case law, legislation, compliance), financial (company accounts), research publications, and technical documentation in the defense, aerospace and industrial sectors. Commenting on this announcement, Maria Shiao, Vice President of Business Development at Stelae Technologies said:
The integration of Khemeia™ and Findability Platform® will deliver new capabilities and insights that will help solve some of our customers’ unique challenges
Boston headquartered Findability Sciences is a leading boutique bigdata and cognitive solutions company with its flagship offering of Findability Platform®. Findability Platform® is a leading big data and cognitive architecture from Findability Sciences and since 2010 it is used by many industry verticals to solve unique business challenges by harnessing volume, velocity and verity of big data.
Talking about the integration of Findability Platform® and Khemeia™, Sumit Agrawal, Vice President at Findability Sciences said,
Findability Platform® and Khemeia™ have unique capabilities in their respective domain. Combining these two technologies with support from cognitive APIs of IBM Watson create a very robust technology offering to manage, maintain and find answers in natural language queries by mixing and understanding both unstructured and structured content.
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Findability Sciences and IBM Biginsight for Hadoop
IBM is a leader in the Forrester Wave™: Big Data Hadoop Cloud Solutions, Q2 2016
Forrester Research, Inc. has just released the Forrester Wave for Big Data Hadoop Cloud Solutions. IBM placed in the leaders category with IBM BigInsights on Cloud.
Hadoop was a groundbreaking technology that transformed the way organizations dealt with big data. According to enterprises surveyed in Forrester’s Global Business Technographics Data And Analytics Survey, 2015, 40 percent of enterprises have already added Hadoop to their mix of technologies supporting data warehousing and business intelligence, and 20 percent plan to do so by the end of 2016. Hadoop has grown and evolved since its inception 10 years ago, and with the explosion of open source data and analytics tools, the Hadoop ecosystem has rapidly expanded. As the technology continues to mature, organizations are increasingly interested in off-premises deployment options to augment their systems architecture, just as they do for any other data management technology such as databases.
Cloud and managed services for Hadoop can help accelerate time-to-value of certain big data projects. Businesses want to deliver a seamless hybrid implementation across on-prem and cloud for data ingest, high availability and disaster recovery. In The Forrester Wave™: Big Data Hadoop Cloud Solutions, Q1 2016, it’s noted that over half of the respondents will increase their big data cloud investment by at least 5 to 10 percent.
Benefits of Hadoop in the cloud
With 57 percent of respondents expecting to increase their usage of Hadoop in the cloud in the next year, why should you do Hadoop in the cloud? Customers are looking for speed, automation, and cost savings, and beyond performance or resource requirements, they need a platform that enables more advanced analytic solutions. There are many benefits to adopting Hadoop in the cloud and The Forrester Wave mentions a few of them including:
- Delivering a Self Service Analytics Platform
- Enabling Faster Advanced Analytics
- Scaling Based on Needs
IBM is a leader in Hadoop cloud solutions
So how do you evaluate which Hadoop cloud solution is right for your business? Forrester assessed the Hadoop Cloud solution landscape and named leaders across three evaluation criteria: current offering, strategy and market presence. IBM is a leader in the The Forrester Wave™: Big Data Hadoop Cloud Solutions, Q1 2016.
“IBM BigInsights is more than a Hadoop-as-a-service; it’s an end-to-end analytical cloud platform.”
IBM’s Hadoop Cloud solution, BigInsights on Cloud, can be deployed on any of the 17 IBM’s Global Data Centers.
IBM BigInsights on Cloud offers the most complete set of tooling for analytics on Hadoop. With IBM BigSQL for queries over structured data, Big R and Machine Learning for Big R for statistical analysis, and Text Analytics for analytics on unstructured data, clients can extract insight from data at scale, with speed and efficiency.
Clients see the benefits of IBM BigInsights on Cloud
Municipal Parking Services of Boston, Massachusetts is harnessing the power of Hadoop to make parking easier for consumers, and easier to enforce for cities. MPS has connected devices that help drivers find, park and pay for available spots. These meters provide information about the local area, and use cameras and sensors to capture evidence of infringements. MPS wanted to analyze data from these meters to develop smarter parking services, but the sheer volume of data, including 18,000 sessions a day, made this difficult to achieve.
“IBM BigInsights allows us to really dig deeper into big data, combining the power and flexibility of Hadoop with enterprise-class tools like dashboards and text analytics”, says Anand Mahurkar, CEO and Founder, Findability Sciences.
MPS deployed the Findability Platform, a sophisticated reporting and analytics solution developed by Findability Sciences and powered by IBM BigInsights. Findability runs in the cloud on IBM SoftLayer and analyzes masses of data not just from MPS’s army of intelligent parking meters, but also from external sources such as the weather and local traffic patterns. More importantly, the growing amount of data they can produce offers unprecedented value and insights.
Learn more about how IBM BigInsights on Cloud is a leader in The Forrester Wave™: Big Data Hadoop Cloud Solutions, Q1 2016, and how you can get started today.
Applying predictive analytics to help improve wellness, predict disease and detect fraud
Healthcare is seeing a huge influx of data from many different sources. With so much data comes the extraordinary potential of predictive analytics that can help with prevention, wellness management, fraud detection and more. This podcast offers a great opportunity to learn more about the power of predictive analytics.
Experts reveal new ways to fight healthcare fraud
How predictive analytics could reduce health insurance fraud Quite a bit has been written recently about healthcare fraud. And just recently, the FBI seized 15 million assets in a healthcare fraud investigation. The main reason for such attention in this area, however, is that even without fraudulent practices in healthcare, it is one of the most expensive industries in the US.
Findability Sciences Acquires Equity in Soft10 Inc., an Automatic Prediction Analytics Company
Findability Sciences is the developer of a big data technology product known as the “Findability Platform™”. Soft10 Inc. is the creator and developer of unique automatic prediction technology software: “Dr. Mo”. Both companies plan to offer a joint solution across industry verticals, hosted with IBM Cloud.
Waltham, MA, January 4, 2016 — Findability Sciences, a global Big Data and Cognitively computing technology company headquartered in Waltham, MA, announced today that it acquired equity of Soft10 Incorporated and formed strategic alliance to tackle the big data market. Soft10 Inc. is a Boston based company founded by Dr. Milorad Krneta in 2013. He is the inventor of Dr. Mo, the world’s first automatic prediction technology.
While making this announcement, Anand Mahurkar, Founder and CEO of Findability Sciences said, “We are very excited with the addition of Dr. Mo to our Big Data solutions stack. Our existing and incoming customers are going to realize tremendous benefits from Dr. Mo’s ability to provide real-time, automatic predictions.”
Dr. Mo is a powerful, self-learning technology that is poised to bring the power of big data and predictive modeling into the hands of every company collecting data, now or in the future. Findability Sciences plans to integrate Dr. Mo with it’s Big Data solution, Findability Platform™.
Dr. Milorad Krneta, founder and CEO of Soft10 said “Dr. Mo is designed with every business in mind. If you have data, we want you to be able to get the predictions and decision-making ability out of it to improve your business. That is exactly why Dr. Mo was created. With Findability Platform™, Dr. Mo can now use combination of structured and unstructured content, giving businesses predictive insights, decisions in real-time. Everyone has, or can get access to data, but what good is data if you don’t use it to predict, decide “.
Cobalt Venture LLC, a subsidiary of Blue Cross Blue Shield of Kansas, has already invested in Soft10 and expects use of Dr. Mo across Blue Cross Blue Shield affiliates. “Our strategic partnership with Findability Sciences now gives us the unique ability of offering the combination of the best Predictability and the best Findability,” said Johanne Larouche, President of Soft10 Inc.
“Combined with our award winning Findability Platform™, we are now be able to offer a very powerful, self-learning technology that is poised to bring the power of big data and predictive analytics into the hands of every company collecting data.” added Mr. Mahurkar. Dr. Mo is currently offered as Software As A Service (SaaS) and is hosted in IBM SoftLayer’s Cloud.
Findability Sciences plans to offer Dr. Mo, automatic prediction analytics capability across industry segments including; retail, financial services, agriculture, consumer goods, non-profit organizations, education, banking, healthcare and media.
An ecosystem of joint venture and group companies allows Findability Sciences to bring unmatched domain expertise along with innovative technology solutions to each vertical. David Lawson, CEO of NewSci, commented on this announcement, “Over the last couple of years we have gained traction with our customers by providing them the unique ability to unify all of their structured and unstructured data using the Findability Platform. With Dr. Mo, we can now offer industry leading prediction capabilities on top of that unified data.” NewSci LLC (http://NewSci.co) is a Findability Sciences’ group company focused on offering big data analytics solutions to nonprofit organizations, educational institutions, and healthcare systems, enabling them to better engage with their constituents, increase fundraising, and reduce operational expenditures.
Brad Steinwede, CEO, All In A Day LLC, another group company of Findability Sciences, which offers an experiential marketing platform, Ta-Dah, said “ This partnership now gives us the ability to give automatic and accurate predictions from the engagement data we are able to generate from consumer engagement on Ta-Dah (http://ta-dah.today).For years CMOs have been searching for this level of analytics from their campaigns, but no technology could offer it. Now we can!” Ta-Dah is hosted on the IBM Cloud just like the Findability Platform™ and Dr. Mo.
Findability Sciences is an IBM Watson EcoSystem Partner, IBM Analytics Partner and IBM SoftLayer Cloud Partner. The company’s strategic partnership with Soft10 now allows Findability Sciences to provide Dr. Mo, self-learning capabilities on structured data side. The company also uses IBM Watson Technology for analyzing unstructured content.
For more information on Soft10 Inc and Dr.Mo, please visit http://soft10ware.com and for more information on Findability Sciences, please visit http://findabilitysciences.com
Findability Platform wins CorporateAmerica's Software Technology Award for 2015 as "Best Data Integration Framework"
Findability Sciences Launches Solution For Agriculture. Appoints Darren Betz On Its Advisory Board
Insights in 5 with Jen Q. Public: What are public sector thought leaders discussing?
Insights in 5 with Jen Q. Public: What are public sector thought leaders discussing?
As I hit the Insight 2015 conference trail, just looking at the sessions I’ll have to choose between has me wishing I were a twin! This year’s conference focuses on the insight economy—an economy whose leaders “are applying insights to uncover trends, discover patterns, recognize opportunities, create markets and change their industry.” To kick off my week at the conference, I asked a few thought leaders in the insight economy to give me a peek at how they are doing just this. Keep reading to discover how they are reinventing their industries in the insight economy.
1. What does economic vitality mean to you?
Shahid Shah, CEO of Netspective Communications: “The economy is frictionless for everyone who wants to participate—from a student who needs a summer job to a new graduate looking to start a career, all the way to experienced professionals who can easily grow their incomes through upward mobility across companies. Vitality also means creating jobs that are engines of the buying and selling of never-before-seen goods and services. It also means that those who need access to capital—whether to buy a new home or to start a new business or expand an existing one—can do so with a minimum of friction.” Michael Stevens, senior government industry specialist at IBM: “Leaders in government should view the transformative potential of new technologies and changing demographics as catalysts for growth, translating them into economic and societal value to enhance cities, regions and nations in the years to come. In an era marked by exponentially increasing sources of data and information, ubiquitous digitization and new expectations for citizen engagement and personalized services, government organizations must challenge and change their traditional organizational mindset. The new economic equation favors transparency and collaboration, enabled by growing volumes of available data and a population whose members increasingly seek to shape the services they receive.”
2. How can personalized learning boost student retention in an age of personalization?
Raymond (Robert) Dolan, global industry marketing, government and education at IBM: “Personalized learning is a particularly promising approach to managing retention, especially at the primary and secondary school levels. If students can consume content that fits their learning style, they develop a passion for learning that stays with them for a lifetime. That passion translates into a continued quest for knowledge; indeed, without it, learning ceases. Many educators believe that we lose students when they become bored with the content of what they are learning—or when they have trouble comprehending it. By looking at the learner first to understand how he or she learns, we can address one of the chief causes of retention, setting learners on a lifelong path of learning toward a future in which they can thrive.”
3. How is cognitive computing changing education?
Anand Mahurkar, CEO of Findability Sciences: “Cognitive computing is changing the one-to-many model of education that has been used for centuries. Thanks to cloud-based cognitive computing, each student can be served very specific content and allowed to interact with it using natural language. Cognitive computing is also changing how educational institutions collect and analyze data to maintain student records. Cognitive analysis can give teachers access to longitudinal records of students, enabling the delivery of personalized content to meet each student’s specific needs.” Raymond (Robert) Dolan, global industry marketing, government and education at IBM: “Cognitive computing in education is the dawn of a new era of deep interaction and insight for learning institutions. Imagine a system that helps students navigate complex university systems and processes—one that recommends a course of action by merely asking a question. Sound provocative? Deakin University in Australia is doing just this today using Watson Student Advisor. Similarly, imagine a system that looks at each student, deciding who might be at risk and recommending a series of personalized steps to help keep each such student on track. Imagine a system that evaluates not only the course of study required for a profession, but also a student’s personality fit for that profession. For example, if you want to be a nurse, you need biology—but, no matter how good you are at biology, how do you deal with blood? Cognitive computing is ushering in an era in which we no longer rely on gut reaction but rather feel confident that the decisions we make are based on a solid foundation of fact and information. This is an exciting time for education.”
4. How can we have the right information at the right time in healthcare?
Shashi Vangala, system director of enterprise business intelligence at Baylor Scott & White Health: “We first understand the needs of our patients, caregivers and researchers. Then we deploy systems, processes and people across the healthcare continuum to meet those needs, all driven by an integrated strategy that aims to constantly challenge the status quo, pushing for innovation. We have our own triple aim of healthcare: efficiently delivering information that is of high quality, that is timely and that is accessible within the framework of controls and best practices.” Navdeep Ranajee, global industry marketing leader for healthcare at IBM: “The healthcare industry is moving toward value-based healthcare focused on medical outcomes rather than volume. Analytics acts as an integral part of producing desired outcomes by ensuring that clinicians have the right data at the point of care. In a world filled with multiple sources of data, data silos and data sharing across the enterprise, healthcare organizations must be able to rely on an enterprise-wide data warehouse that can capture, normalize and integrate multiple sources of data into a single version of the truth, empowering clinicians.”
5. How can analytics help minimize the surge of cyber attacks?
Shahid Shah, CEO of Netspective Communications: “Most external cyber attacks follow patterns, and many—if not all—internal cyber attacks are perpetrated by users who have been able to elevate their privileges or who are otherwise departing from their normal patterns. Whenever patterns are involved, analytics tools become indispensable. Accordingly, user behavior analytics (UBA) can help monitor, detect and prevent many internal and external breach attempts. Though separating duties and adopting the principle of least privilege and the need-to-know basis are excellent approaches, UBA and broader security analytics go beyond them by using machine learning and other next-generation techniques to discover, in or nearly in real time, trends and patterns that humans would easily miss.” Liesl Geier, market segment manager for i2 Enterprise Insight Analysis at IBM: “Aside from legislative efforts and enactment of sanctions against cyber threat actors, I don’t think we can really control cyber attacks. However, we can try to minimize their effectiveness by turning defensive cyberstrategies into proactive, intelligence-led strategies. Cyber threat analysis can help organizations develop comprehensive and contextual intelligence about the threats and threat actors that they face, allowing them to proactively strengthen security measures while quickly countering and mitigating threats. The IBM i2 Enterprise Insight Analysis solution integrates multidimensional visual analysis capabilities with advanced analytics, helping organizations quickly ingest, query and analyze external and internal data sources to generate valuable insights about threats, including not only the identities of threat actors, but also their motivations. Such insights can then be used to help security systems detect, disrupt and counter future attacks.”
MUNICIPAL PARKING SERVICES & FINDABILITY SCIENCES announce alliance to provide Big Data analytics solutions for a smarter, safer city
IBM Announces Major Commitment to Advance Apache®Spark™, Calling it Potentially the Most Significant Open Source Project of the Next Decade
IBM Joins Spark Community, Plans to Educate More Than 1 Million Data Scientists
Shiva Gopalan, a computer engineering masters student at Texas A&M University(far right), confers with IBM developers Henrique Copelli Zambon (center) and Luiz Aoqui, during an IBM hosted Spark Hackathon at Galvanize, a tech hub in San Francisco on Sunday, June 14, 2015. (Credit:George Nikitin/Feature Photo Service for IBM)
As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing. First, it dramatically improves the performance of data dependent apps. Second, it radically simplifies the process of developing intelligent apps, which are fueled by data.
To further accelerate open source innovation for the Spark ecosystem, IBM is taking the following actions:
- IBM will build Spark into the core of the company’s analytics and commerce platforms.
- IBM’s Watson Health Cloud will leverage Spark as a key underpinning for its insight platform, helping to deliver faster time to value for medical providers and researchers as they access new analytics around population health data.
- IBM will open source its breakthrough IBM SystemML machine learning technology and collaborate with Databricks to advance Spark’s machine learning capabilities.
- IBM will offer Spark as a Cloud service on IBM Bluemix to make it possible for app developers to quickly load data, model it, and derive the predictive artifact to use in their app.
- IBM will commit more than 3,500 researchers and developers to work on Spark-related projects at more than a dozen labs worldwide, and open a Spark Technology Center in San Francisco for the Data Science and Developer community to foster design-led innovation in intelligent applications.
- IBM will educate more than 1 million data scientists and data engineers on Spark through extensive partnerships with AMPLab, DataCamp, MetiStr
eam, Galvanize and Big Data University MOOC.
“IBM has been a decades long leader in open source innovation. We believe strongly in the power of open source as the basis to build value for clients, and are fully committed to Spark as a foundational technology platform for accelerating innovation and driving analytics across every business in a fundamental way,” said Beth Smith, General Manager, Analytics Platform, IBM Analytics. “Our clients will benefit as we help them embrace Spark to advance their own data strategies to drive business transformation and competitive differentiation.”
Spark Drives Business Transformation for IBM Clients
Spark has grown quickly in popularity among developers and data scientists as an essential platform for helping organizations more easily integrate Big Data into applications, and is quickly gaining momentum with IBM clients looking to transform business decision-making:
- Real-time transportation planning software from Optibus is changing the way public transport is organized. “Spark, together with IBM, provides a highly scalable platform for Optibus, making it easy for us to expand our software as a service offering into new markets, and helps us simplify deployment, maintenance and application development for transportation companies worldwide,” said Amos Haggiag, Optibus CTO and Co-Founder.
- Findability Sciences, a global consulting and contextual data technology solutions company, is using IBM Analytics and Spark to help clients tap into the power of Big Data. “Apache Spark with IBM BigInsights has given us tremendous capacity for our implementations for small and medium businesses, where MapReduce was not efficient. With Spark, the performance has improved multi fold. We’re now able to process streaming data from IoT devices and offer analytics for data in motion for things like traffic, commuters and parking,”said Anand Mahurkar, CEO of Findability Sciences.
- Independence Blue Cross (IBC) is the largest health insurer in the Philadelphia area, serving more than two million people in the region and seven million nationwide. It’s using Spark to help drive product innovation and develop new services. “Apache Spark is quickly maturing into a power tool for development of machine-learning analytic applications. It allows our IBC researchers and academic partners to work together more seamlessly, which means we can get new claims and benefits apps up and out to customers much faster,” said Darwin Leung, Director of Informatics at Independence Blue Cross.
- IBM, NASA, and the SETI Institute are collaborating to analyze terabytes of complex deep space radio signals using Spark’s machine learning capabilities in a hunt for patterns that might betray the presence of intelligent extraterrestrial life. “With Spark as a Service on Bluemix, we’ll be able to work with IBM to develop promising new ways to analyze signal data as we hunt for evidence of intelligence elsewhere in the cosmos. This is an exciting example of synergy in the service of science,”said Dr. Seth Shostak, Senior Astronomer and Director of the Center for SETI Research.
IBM is one of four founding members of the UC Berkeley AMPLab, where Spark was first invented in 2009, and as a result participates in multi-day research retreats, provides advice and real-world insight, and interacts closely with AMPLab researchers on projects of mutual interest. “As a sponsor of the AMPLab, IBM contributes to the greater Spark community and provides guidance for the continued evolution and improvement of the Berkeley Data Analytics Stack, the open source platform of which Spark is a key component,” said Professor Michael Franklin, Director of the UC Berkeley AMPLab.
Spark is agile, fast and easy to use. And because it is open source, it is improved continuously by a worldwide community. Over the course of the next few months, IBM scientists and engineers will work with the Apache Spark open community to rapidly accelerate access to advanced machine learning capabilities and help drive speed-to-innovation in the development of smart business apps. By contributing SystemML, IBM will help data scientists iterate faster to address the changing needs of business and to enable a growing ecosystem of app developers to apply deep intelligence into every thing.
For more information on IBM Analytics and Spark, visit www.ibm.com/spark
To read a blog about today’s news authored by Bob Picciano, Senior Vice President, IBM Analytics, visit http://ibm.co/1I7SplL.
Join the conversation #SparkInsight
Apache®, Apache Spark™, Spark™, are trademarks of the Apache Software Foundation in the United States and/or other countries.
Silicon India Names Findability Sciences as among 20 most promising software companies.
Findability Sciences’ Customer Persona Named Best in Class at SugarCRM’sAnnual App Throwdown Competition
Sugar-Integrated Application Selected as Best Entry in the “Beyond CRM” Category at SugarCRM’sSugarCon 2015 Conference Waltham, MA – May 1, 2015 –Findability Sciences today announced that its “Customer Persona App” was chosen as Best in Class in the “Beyond CRM” category at SugarCRM’s fourth annual App Throwdown competition. SugarCRM Inc., the company that enables businesses to create extraordinary customer relationships with the most innovative, flexible and affordable CRM solution in the market, hosted the App Throwdown competition at its SugarCon 2015 conference in San Francisco. The App Throwdown competition spotlights innovative applications that extend the Sugar platform, and highlights the strong partner ecosystem SugarCRM has created to help its users support their customers across their entire customer journey. Six “Best-in-Class” winners were selected by SugarCRM executives across five categories. Findability Sciences, an IBM Watson® Ecosystem partner, has integrated IBM Watson® with SugarCRM to offer customer personality insights using Findability Platform’s capability of combining structured and unstructured data, and identifying the customer persona to manage customer relations effectively. With Customer Persona App in SugarCRM, users can better understand their contact’s personality, their purchase motivations & values and find related contacts and account managers to successfully manage customers with similar personality traits. “Every year we see increased excitement and competition for the App Throwdown awards,” said Clint Oram, founder and Chief Technology Officer for SugarCRM. “For us, this is a great occasion to spotlight the innovation and skill of our partners, who have created a broad range of world-class solutions that extend and enhance the Sugar platform. Our hearty congratulations to Findability Sciences for playing a leading role enabling Sugar users to build extraordinary customer relationships.” “I would like to thank SugarCRM team for organizing such an exciting competition to bring ‘best of the breed’ applications to the forefront” said Anand Mahurkar, CEO of Findability Sciences. “SugarCRM is at the core of our offerings to our customers. The open architecture of SugarCRM allows us to combine the latest innovations like IBM Watson® and provide an insightful system of engagement to our customers. We are very excited to get this recognition for our Customer Persona application, powered by IBM Bluemix & IBM Watson®“ added Mr. Mahurkar. While receiving the award at SugarCon 2015, Sumit Agrawal, Findability Sciences Vice President of technology said “On behalf of my team, I am very happy to receive this recognition for our innovation. Big Data & Cognition is the new oil which fuels the engine of relationship management. Combining our Findability Platform and IBM Watson technologies with SugarCRM offers an exciting proposition to all the relationship managers to make use of data, understand their customer personality, purchase motivations and values to manage relationships at a more personal level”. Mr Agrawal demonstrated the Customer Persona application to the App Throwdown attendees. “More and more customers are interested in investing in systems of insights & systems of engagement. We strongly believe that SugarCRM offers a great system of engagement for customers & because of its open architecture it allows seamless integration with the systems of records and systems of insights, like our big data platform, Findability Platform®” Added Mr Agrawal. About Findability Sciences Findability Sciences is a leading big data and cognitive computing technology company founded in 2009, headquartered at Waltham, MA. Its flagship product Findability Platform® is used by many customers in different verticals like publishing, higher education, retail, and infrastructure. NewSci LLC, a Findability Sciences group company offers solutions to Nonprofit sector. To learn more, visit Findability Sciences or follow @fsci. About SugarCRM SugarCRM enables businesses to create extraordinary customer relationships with the most innovative and affordable customer relationship management (CRM) solution on the market. By placing the individual at the center of its solution, SugarCRM is putting the “i” in CRM and empowering people at all levels of an organization to better understand and engage with customers. Based in Silicon Valley, SugarCRM is backed by Goldman Sachs, Draper Fisher Jurvetson, NEA and Walden International. More than 1.5M individuals in over 120 countries rely on SugarCRM. To learn more visit SugarCRM or follow @SugarCRM. NOTE: SugarCRM and the SugarCRM logo are registered trademarksand SugarUX is a service mark of SugarCRM Inc. Third-party trademarks mentioned are the property of their respective owners.
IBM Accelerates Data Science Success for the Enterprise
IBM Accelerates Data Science Success for the Enterprise
— IBM BigInsights introduces machine learning with R at massive scale — ARMONK, N.Y. – 17 Feb 2015: IBM (NYSE:IBM) shifts data science into high gear today with the announcement of new In-Hadoop analytics technologies to accelerate the conversion of data into valuable insight for the business. IBM is delivering machine learning, R, and many new features that can run over large-scale data in the new IBM BigInsights for Apache Hadoop. A growing number of organizations today recognize Apache Hadoop as a powerful technology for collecting and economically storing a very large set of highly variable data, and yet they struggle to realize its full potential in every part of their business. For example, a business analyst needs to quickly find relevant information, the data scientist needs to make sense of the data with statistical modeling, and the whole environment needs to be easy for IT to manage and deploy for everyone to use. As the size and complexity of Hadoop applications continues to grow, data science has become a critical function for unlocking meaningful insights and identifying actions that could optimize outcomes across the entire business. IBM BigInsights for Apache Hadoop includes a broad data science toolset to query data, visualize, explore and conduct distributed machine learning at scale. “There’s so much data out there that it’s often difficult for companies to find the information that really matters,” said Anand Mahurkar, CEO of Findability Sciences. “IBM BigInsights helps connect data elements that often go undiscovered to bring context to the customer relationship. Some of our clients have improved customer retention by up to 25 percent with this enhanced understanding. They can now focus efforts and resources on where they’ll have the greatest effect, helping win and retain more business and drive more profitable operations.” IBM BigInsights for Apache Hadoop will introduce three new modules:
- IBM BigInsights Analyst will include IBM’s SQL engine and IBM’s intuitive spreadsheet and visualizations to find data quickly and easily. On average, millions of SQL queries are run each year. With BigInsights Analyst, the efficiency of these queries has been shown in some cases to improve by approximately 2x to 4x on Apache Hadoop depending on the shuffle size. The ANSI compliant SQL means queries can run unchanged against Hive, HBase and relational databases.
- IBM BigInsights Data Scientist will deliver a new machine-learning engine that automatically tunes its performance over large-scale data to find interesting patterns– plus over a dozen industry-specific algorithms such as Decision Trees, PageRank and Clustering to help tackle complex problems out of the box. It will also provide native support for open source R statistical computing helping clients leverage their existing R algorithms, or gain from the more than 4,500 freely available statistics packages from the R community.
- IBM BigInsights Enterprise Management will introduce new management tools for clients to realize faster time to results. Designed to help allocate resources and optimize workflows, these tools will allow deployments that can scale to large numbers of users and clusters, and will help satisfy high workload demand. These tools will provide multi-tenancy and multi-instance support in a cluster.
Also announced today is IBM Open Platform with Apache Hadoop. Based on open source software, the platform will provide the necessary data access controls and authentication for an enterprise. We are also adding support for Apache Spark to enable new computing engines to facilitate interactive analytic applications. IBM is also sponsoring Big Data University and its new courses for Programming for Analytics and Data Science that cover machine learning. Big Data University addresses today’s lack of big data skills by delivering free online courses to a community of more than 230,000 registered participants around the world. These Hadoop solutions fit cohesively into IBM’s broader analytics platform to help deliver insight from data, when, where and how it is needed. The platform provides a full range of analytics and integrates Hadoop solutions as part of a warehousing and data architecture. In particular, the predictive capabilities of SPSS can build the predictive models, exercise machine learning and R in Hadoop, apply business optimization, and deploy these models into real-time business processes. “In our fast paced world, the ability to turn data into insight is the difference between success and failure,” said Beth Smith GM of IBM Analytics Platform. “With the announcements today, our ability to address the sophisticated needs of data scientists, to improve access for a broader community of analysts, and the surety of production scale will set in motion the next wave of value our clients expect from big data.” The new capabilities in IBM BigInsights for Apache Hadoop expand what is already the industry’s deepest portfolio of Big Data solutions, spanning software, services, research and hardware. IBM Analytics combines traditional data warehouse technologies with new Big Data techniques, such as Apache Hadoop, stream computing, data exploration, advanced analytics, enterprise integration and IBM Watson cognitive computing to create an integrated solution to embed the opportunity of Big Data & Analytics into every organization. IBM is also a founding member of the Open Data Platform (ODP) Initiative, a new industry association announced today to help drive collaboration, innovation, and standardization across Hadoop and big data technologies. For more information on IBM BigInsights for Apache Hadoop see http://www.ibm.com/hadoop.
India Findability Sciences Taps into Veteran Academician for setting up Machine Learning Division
Centralized Computing Facilities Move Startups Past Technology Conversions
“Our company has created the Impact Measurement & Analysis (IMA) app to provide a better way of measuring the impact of nonprofit grants. As we developed the concepts of Platform as a Service (PaaS) for our Contextual Data/Big Data Platform, we had to consider the huge infrastructure needed for developing the application, churning large amounts of data, storing it and then solving business-critical problems using the platform. “Using a cloud-based service let us continue building the software to serve customers, without worrying about IT infrastructure and other enterprise resources (for example, email, accounting systems, etc.). For us, this dispelled the myth that to start business, one needs funding! We could dream about a great product offering, without huge capital expenses for the IT infrastructure. “The modern age of innovation is becoming increasingly democratized thanks to the cloud services available to startups. When I watched IBM’s Watson compete on Jeopardy! in 2011 I thought, “I wish we could have access to this type of technology.” I scrapped that thought, assuming it will be too foolish to dream about it! “However, just three years later, the IBM Watson platform is now available via the cloud, allowing us to create an app that went far beyond what we imagined was possible. Cloud-based resources enabled us to test our ideas in the sandbox and take IMA to the market in a matter of months. We could focus on domain-centric innovation, go to market, build proof of concepts and, more importantly, start generating revenue, in a matter of months, without worrying about capital expenditure and funding.”
– See more at: http://www.convergeyourbranch.com/69/centralized-computing-facilities-move-startups-past-technology-conversions#sthash.bSYuOjRK.dpuf
Findability Sciences Opens it's New Cognitive Computing Excellence Center in Mumbai
Waltham, MA USA headquartered & a leading Contextual Data & Cognitive Computing Solution provider, Findability Sciences announced opening of its new Cognitive Computing Excellence Center in the heart of Mumbai city in India.
We are looking for new kind of talent, which currently doesn’t exist in the market. We are one of the first software solution provider in India, which is innovating new products and solutions for the new world, where data is growing at unprecedented speed, every day. We are committed to investments in training of our resources & creating new generation of Data Scientist in our Mumbai center, added Sumit Agrawal, Vice President of the company. Findability Sciences is a IBM Watson Ecosystem Development partner and has launched its first Cognitive Computing Application through its group company, NewSci LLC in United States, which allows Social Impact organizations to measure impact of thier investments. We will be launching couple of new cutting edge application during the first quarter of 2015, which will solve business problems which we could never solve before with the technologies available with us then, added Ms.Krishnamoorthy. Mr. Agrawal further said that the new center in Mumbai will enable us to attract right talent with specific domain expertise. He also mentioned that company has already made few key management level recruitments and the new management positions will add bandwidth to company’s ability to take on more challenging tasks during 2015. Company plans to launch new product line which will solve critical business issues for retail, healthcare & large business houses. Findability Sciences has a development center housed in Software Technology Parks of India (STPI) Center in Aurangabad in Maharashtra. During 2015, company plans to expand it’s operations in Aurangabad city as well.
IBM and Findability Sciences Tap the Power of Watson to Transform the Social Impact Sector.
Lehigh University Selects the NewSci Findability Platform™
Lehigh University Selects the NewSci Findability Platform™
“We are pleased to partner with Lehigh University to help them turn data into knowledge, and the knowledge into actionable insights,” said David Lawson, NewSci’s Chief Executive Officer. “Together, we will break through data silos to provide leadership a cross-institutional view not possible with traditional CRM applications and data warehouses,”
Findability Sciences' joint venture - NewSci Launched first Big Data Lab for not for profit organizations
NewSci launches first Big Data Lab for Non-Profit Sector
PRLog (Press Release) – Jun. 10, 2014 – TAMPA, Fla. — At a time when the volume, variety, and velocity of information are exploding, organizations find themselves struggling to turn the data deluge into actionable knowledge. NewSci LLC created NewSci Labs to address the challenges of doing good in the age of Big Data. “As amazing as Big Data technology is, without the understanding of how to use it effectively, it is at best a novelty, and at worst a distraction. We created NewSci Labs to ensure our clients are able to fully realize the potential of this transformational technology,”
Big Data & Analytics Hero Anand Mahurkar views big data as a new way for managing businesses
Big Data & Analytics Heroes: Anand Mahurkar
For the first time, we understand human insights from electronic data. When we started looking at internal transaction data, along with the social data an individual creates, you get deeper insights on behavior, influence, expectations and reactions. For example, at higher education institutes, we were able to free data from silo applications and discover hidden connections leading to new insights on their network relationships. From social media data, we uncovered people who are influencing or can influence our customers’ business. By tracking the sentiments, themes, phrases and tones we identified who can be an authority in a given subject and engage with them effectively.Should tomorrow’s generation acquire analytic skills, no matter the degree? Why or why not? There is a paradigm shift in the way every stream of life, society or business interacts with data, ranging from creation to consumption and delivery of outputs. Data is a new oil or soil. Analytics was considered as the domain of only IT people, or researchers. But for tomorrow’s generation, everyone needs to know the data so that they can run the businesses of the future. May it be small, medium or large, with the new oil there is less friction and farming in the new soil effectively bears sweet fruits for the businesses where the upcoming generation will be involved. So no matter the degree, everyone in the new generation should acquire data science (analytics) skills. These skills are going to be as basic as a language skill for any stream of education and foundational for becoming part of any business or organization. How can big data, combined with analytics, improve our world in 5 to 10 years? Data and content creation are now in the hands of the masses, ranging from schoolchildren, to stay-at-home parents, to business professionals. Earlier the content was generated by only a select few, inside the four walls of an office. The reporting and management of that information was based only on the data generated by this select few and, hence, it had a very narrow view of what businesses were supposed to know. In the next 5 to 10 years, with big data getting bigger and new analytics capabilities becoming available every day, the world is going to improve. We stand to see communities with less conflicts, better governance overall, unmatched law enforcement, better customer service, improved healthcare diagnoses, proactive health services and the value of money and overall well-being index of the world we live in , going up.
The Big Data Needle in a Haystack
NewSci gives universities a powerful new way to integrate data
Tuesday, March 18, 2014 (University Business)
Nonprofit organizations have unprecedented, new abilities to search all internal and external data through a contextual data engine offered by NewSci LLC.
NewSci combines the power of search capabilities provided by the Findability Sciences platform (powered by IBM) and domain expertise in nonprofit fundraising with cognitive computing, which learns and interacts naturally with people to extend beyond what humans or machines could do on their own. NewSci penetrates and sorts the complexity of Big Data, so organizations can pose new, bold questions and receive highly reliable answers in quantity. The dividend for schools and colleges is limited only by the imaginations of those who ask the questions.
NewSci was founded in October 2013 when David Lawson, CEO, and Jay Goulart formed a joint venture partnership with Anand Mahurkar, the owner of Findability Sciences, who has 20 years of experience in IT business solutions for global organizations. Lawson and Goulart have broad experience in fundraising consultation, including serving nonprofit clients through their own partnership, New Science of Philanthropy.
Although it is a new business, the Findability platform is a proven technology which integrates structured and unstructured internal data (from previously siloed databases, certificates and documents, etc.), along with data found online, to help leadership see a complete picture of the organization. As Mahurkar explains, “Instead of the pain of searching, Findability offers ‘the joy of finding.’”
With deep sector experience, Lawson and Goulart supply the expert guidance that enables nonprofits to formulate the questions that enable leadership to find and analyze unprecedented quantities of high quality information, enabling the creation and implementation of novel strategies to achieve highly specific, diverse goals spanning admission yields, philanthropic tendencies, leadership donor retention, etc.
“This offers leaders a comprehensive view of their organization and how it is supported and perceived,” Lawson observes. “We are thrilled to be bringing this platform to the nonprofit sector, because current technology is not providing what it needs.”
Goulart sees the technology as serving multiple aspects of an organization. “The insights nonprofits gain will make fundraising more effective,” he said, “because the comprehensive view of internal data and the added perspective of outside data will accurately portray what donors value, what they are supporting, and what they want to support. Admission offices will simultaneously apply big picture data to help them attract and retain the right applicants.”
NewSci will help them find information on questions such as: “Who will apply? Why are they applying? What do they like?
What are their concerns? What did they like during their campus visit? What are they telling their friends about the school? What are their philanthropic preferences? What will make them want to continue their support?” NewSci has already successfully completed “proof of concept” applications in major higher education institutions and private schools.
NewSci’s corporate headquarters are in Tampa, where Goulart is based. Lawson is based in Tallahassee, and Mahurkar has offices in Boston and Mumbai. For more information on NewSci, visit www.newsci.co or contact David Lawson at 813.666.8899.
Nonprofits Integrate Internal and External Data to Develop Comprehensive Organization Overviews with NewSci
Big Data for Good - Anand Mahurkar at TEDxLowell
Digital Body Language and Brand Karma
Digital Body Language and Brand Karma
IBM Big Data in a Minute: Learn more about gaining human insights from data
IBM Entrepreneur Day - Innovate, Transform, Grow
On Feb 4th IBM hosted Day 2 of the inaugural IBM Global Entrepreneur week with 44 in-person events around the world. At our newest location in Cambridge, we hosted our next installment in our series we call“Connecting Companies with Capital”
Anand Mahurkar, CEO of Findability Sciences was one of the panelist during this event.
Boy,…what a day it was! There was energy, buzz, mentoring, keynotes, cool startup technologies and so much more!!! If you missed it, you can catch a part of the event which was livestreamed that day here:
We had a packed room with overflow rooms on the 2nd floor showing the livestream content of keynotes and panel discussions.
Chris Lynch from Atlas Ventures kicked off the day with some great lessons for entrepreneurs and insights. Our panel discussion bringing together IBM, American Airlines and Constant Contact and their respective partners was something the audience found very valuable and informative. The startups shared their experiences (good and bad) providing a holistic view of the complete partnership.
Victor Rosansky was able to convey some interesting secrets for entrepreneurs to be successful which piqued their interest to know more. Visit here to get a copy of his presentation and stay connected!
You would think there was loads of information packed into these 2 hours but wait…there’s more!!!
We then moved into our key component of the day – “Speed Mentoring”. 30 mentors were able to connect with almost 100 startups to provide some advice and get some information to foster some initial connections which they can follow up on. The short time allotted (5 mins) for each pair helped ensure we get most connections made in a short amount of time.
That was by no means the only networking happening…people were able to avail of the all the meeting spaces, rooms and breakout areas to gather for a quick bite to eat or carry on follow up conversations.
The seven breakout sessions were a natural flow from the networking lunch. Each of the sessions was well attended, and the leaders, who were subject matter experts in each of the areas provided the right intros to help get the conversations started.
Jon Prial of Georgian Ventures mentioned on his blog – “A last great takeaway was hammered during a breakout session on Markets was on how a company needs to push away all distractions and focus, focus, focus.” – led by Jess McLear and Lauren Celano