Inventing the “Google” for Predictive Analytics

Platform analyzes big data to answer plain-language business queries in minutes instead of months.

By Rob Matheson, MIT News Office

Inventing the “Google” for Predictive Analytics

Companies often employ number-crunching data scientists to gather insights such as which customers want certain services or where to open new stores and stock products. Analyzing the data to answer one or two of those queries, however, can take weeks or even months.

Now MIT spinout Endor has developed a predictive-analytics platform that lets anyone, tech-savvy or not, upload raw data and input any business question into an interface — similar to using an online search engine — and receive accurate answers in just 15 minutes.

The platform is based on the science of “social physics,” co-developed at the MIT Media Lab by Endor co-founders Alex “Sandy” Pentland, the Toshiba Professor of Media Arts and Sciences, and Yaniv Altshuler, a former MIT postdoc. Social physics uses mathematic models and machine learning to understand and predict crowd behaviors.

Users of the new platform upload data about customers or other individuals, such as records of mobile phone calls, credit card purchases, or web activity. They use Endor’s “query-builder” wizard to ask questions, such as “Where should we open our next store?” or “Who is likely to try product X?” Using the questions, the platform identifies patterns of previous behavior among the data and uses social physics models to predict future behavior. The platform can also analyze fully encrypted data-streams, allowing customers such as banks or credit card operators to maintain data privacy.

“It’s just like Google. You don’t have to spend time thinking, ‘Am I going to spend time asking Google this question?’ You just Google it,” Altshuler says. “It’s as simple as that.”

Financially backed by Innovation Endeavors, the private venture capital firm of Eric Schmidt, executive chairman of Google parent company Alphabet, Inc., the startup has found big-name customers, such as Coca-Cola, Mastercard, and Walmart, among other major retail and banking firms.

Recently, Endor analyzed Twitter data for a defense agency to detect potential terrorists. Endor was given 15 million data points containing examples of 50 Twitter accounts of identified ISIS activists, based on identifiers in the metadata. From that, they asked the startup to detect 74 with identifiers extremely well hidden in the metadata. Someone at Endor completed the task on a laptop in 24 minutes, detecting 80 “lookalike” ISIS accounts, 45 of which were from the pool of 74 well-hidden accounts named by the agency. The false positive rate was also extremely low (35 accounts), meaning that human analysts could afford to have experts investigating the accounts.


Clusters of Commonality


Machine learning is used for complex computational problems that are relatively static, such as image recognition and voice recognition. Written and spoken English, for instance, has been essentially unchanged for centuries.

Human behavior, on the other hand, is ever-changing. Predicting human behavior means analyzing a large number of small signals over a short period of time, perhaps days or weeks. Traditional machine-learning algorithms rely mainly on constructed models that analyze data over much longer periods.

“In general, you need a lot of data to build accurate models for human behavior, and that means you have to rely on the past. Because you rely on the past, you cannot detect things that recently happened, and you can’t predict human behavior,” Altshuler says.

Throughout the early- and mid-2000s, Pentland and Altshuler developed “social physics” in the Human Dynamics Lab, with aims of capturing and analyzing short-term data to understand and predict crowd dynamics. In their research, they found all big data contain certain mathematical patterns that indicate how social interactions spread and converge, and those patterns can help predict future behaviors.

Using those mathematical patterns, they built a platform — the core technology of Endor’s platform — that can extract “clusters” of behavioral commonalities from millions of raw data points, much more quickly and accurately than machine-learning algorithms. A cluster may represent families of four, people who buy similar foods, or individuals who visit the same locations. “Most of those data patterns would be indistinguishable from noise with any other technologies,” Altshuler says.

It isn’t immediately clear what clusters represent, just that there is a strong correlation. Querying the data, however, provides context. With customer data, for instance, someone might query which customers are most likely to buy a specific product. Using keywords, the platform matches behavioral traits — such as location and spending habits — of customers who have bought that product with those who haven’t. This overlap creates a list of possible new customers that are apt to buy the product.

In short, uploading data and asking the right question presents the platform with a basic request: Here is an example X, find me more of X. “As long as you can phrase a question in that way, you’ll get an accurate response,” Altshuler says.

Endor and Endor-ish


To test the platform, the researchers worked early on with the U.S. Defense Advanced Research Project Agency (DARPA) to analyze mobile data in certain cities in times of civil unrest to show how emerging patterns can help predict future riots. Altshuler also spent a couple months in Singapore analyzing taxi ride data to predict traffic jams in the city.

In 2014, Altshuler connected with Doron Alter, a friend and Stanford University graduate, who at that time was a partner in Innovation Endeavors. The investors asked if the technology could be wrapped “into a product that could be used by anyone,” Altshuler says.

That year, with Innovation Endeavors’ financial support, Altshuler and Pentland, a serial entrepreneur, co-founded Endor to transform the platform into commercial software. The team was joined by Alter and Stav Grinshpon, a tech-industry veteran and former leading technical expert at 8200, an Israeli Intelligence Corps. unit.

The company had soon earned an early partner in Mastercard through the credit card company’s StartPath program. Altshuler was asked by Mastercard to answer queries reserved for data scientists, such as who is going to fly abroad soon, take out loans, or increase credit card activity.

On a single flight from Tel Aviv, Israel, to New York City, Altshuler crunched billions of data points on financial transactions of 1 million card-holders and received accurate answers to 10 questions. Traditionally, data scientists would need to spend weeks, or months, cleaning the data and designing machine-learning models to answer each question individually. “It would have taken the company, say, two months to develop models to answer those questions. I did 10 on one transatlantic flight,” Altshuler says.

Companies may employ their own analytics-savvy staff to use Endor. Others will set up brief weekly meetings with Endor representatives to determine the best phrasing for questions. “It takes about five minutes to translate their English to what we call ‘Endor-ish,’ meaning the way our system can understand questions,” Altshuler says.

The startup’s webpage offers an example of results and a comparison with traditional machine-learning engines. A marketing department for a bank asks, “Who is going to get a mortgage in the next six months?” Machine-learning engines may detect a pool of, say, 5,000 customers who have a bank credit card and a high credit score, and are married — many of which may be false positives. Endor detects more specific clusters of, say, couples about to get married or going through a divorce, founders who recently sold their startups to Facebook, or customers who recently graduated from a local real-estate course. Results from Endor offer far fewer false positives and dig up far more additional potential customers, according to the startup.

Importantly, Altshuler says, Endor isn’t aimed at replacing data scientists; it’s designed as a tool to empower them. Data scientists, he says, are most familiar with their organization’s business semantics and can incorporate Endor into their workflow. By opening a “bottleneck” — where data input comes in faster than anyone can produce an output — Endor aims to help data scientists improve their companies. “Data scientists understand we can make them heroes,” Altshuler says.

Endor recently won the “Cool Vendor” status by Gartner, reserved for industry disrupters, and was acknowledged as a “Technological Pioneer” by the World Economic Forum. As word spreads, Endor is now gaining customers across the U.S., with first customers also in Europe and Latin America. “It’s exciting times,” Altshuler says.

Reprinted with permission of MIT News
Name

-51,1,3D Technology,2,5G,10,Abkhazia,2,Abortion Laws,1,Academics,11,Accidents,22,Activism,1,Adani Group,6,ADB,13,ADIZ,1,Adults,1,Advertising,31,Advisory,2,Aerial Reconnaissance,13,Aerial Warfare,36,Aerospace,5,Afghanistan,88,Africa,115,Agile Methodology,2,Agriculture,21,AI Policy,1,Air Crash,10,Air Defence Identification Zone,1,Air Defense,7,Air Force,29,Air Pollution,1,Airbus,5,Aircraft Carriers,5,Aircraft Systems,6,Al Nusra,1,Al Qaida,4,Al Shabab,1,Alaska,1,ALBA,1,Albania,2,Algeria,3,Alibaba,1,American History,4,AmritaJash,10,Antarctic,1,Antarctica,1,Anthropology,7,Anti Narcotics,12,Anti Tank,1,Anti-Corruption,4,Anti-dumping,1,Anti-Piracy,2,Anti-Submarine,1,Anti-Terrorism Legislation,1,Antitrust,2,APEC,1,Apple,3,Applied Sciences,2,AQAP,2,Arab League,3,Architecture,3,Arctic,6,Argentina,7,Armenia,31,Army,3,Art,3,Artificial Intelligence,83,Artillery,2,Arunachal Pradesh,2,ASEAN,12,Asia,71,Asia Pacific,24,Assassination,2,Asset Management,1,Astrophysics,2,ATGM,1,Atmospheric Science,1,Atomic.Atom,1,Augmented Reality,8,Australia,58,Austria,1,Automation,13,Automotive,133,Autonomous Flight,2,Autonomous Vehicle,4,Aviation,63,AWACS,2,Awards,17,Azerbaijan,17,Azeri,1,B2B,1,Bahrain,9,Balance of Payments,2,Balance of Trade,3,Bali,1,Balkan,10,Balochistan,2,Baltic,3,Baluchistan,8,Bangladesh,30,Banking,53,Bankruptcy,2,Basel,1,Bashar Al Asad,1,Battery Technology,3,Bay of Bengal,5,BBC,2,Beijing,1,Belarus,3,Belgium,1,Belt Road Initiative,3,Beto O'Rourke,1,BFSI,1,Bhutan,13,Big Data,30,Big Tech,1,Bilateral Cooperation,21,BIMSTEC,1,Biography,1,Biology,1,Biotechnology,4,Birth,1,BISA,1,Bitcoin,10,Black Lives Matter,1,Black Money,3,Black Sea,2,Blockchain,32,Blood Diamonds,1,Bloomberg,1,Boeing,21,Boko Haram,7,Bolivia,7,Bomb,3,Bond Market,3,Book,11,Book Review,24,Border Conflicts,12,Border Control and Surveillance,7,Bosnia,1,Brand Management,14,Brazil,107,Brexit,22,BRI,5,BRICS,20,British,3,Broadcasting,16,Brunei,3,Brussels,1,Buddhism,1,Budget,5,Build Back Better,1,Bulgaria,1,Burma,2,Business & Economy,1262,C-UAS,1,California,5,Call for Proposals,1,Cambodia,7,Cameroon,1,Canada,57,Canadian Security Intelligence Service (CSIS),1,Carbon Economy,9,CAREC,1,Caribbean,10,CARICOM,1,Caspian Sea,2,Catalan,3,Catholic Church,1,Caucasus,9,CBRN,1,Cement,1,Central African Republic,1,Central Asia,82,Central Asian,3,Central Eastern Europe,49,Certification,1,Chad,2,Chanakya,1,Charity,2,Chatbots,2,Chemicals,7,Chemistry,1,Child Labor,1,Child Marriage,1,Children,4,Chile,10,China,596,Christianity,1,CIA,1,CIS,5,Citizenship,2,Civil Engineering,2,Civil Liberties,5,Civil Rights,2,Civil Society,5,Civil Unrest,1,Civilization,1,Clean Energy,5,Climate,67,Climate Change,29,Climate Finance,2,Climate Studies,1,Clinical Research,3,Clinton,1,Cloud Computing,46,Coal,6,Coast Guard,3,Cocoa,1,Cognitive Computing,13,Cold War,5,Colombia,15,Commodities,4,Communication,12,Communism,3,Compliance,1,Computers,40,Computing,1,Conferences,1,Conflict,114,Conflict Diamonds,1,Conflict Resolution,49,Conflict Resources,1,Congo,2,Construction,5,Consumer Behavior,4,Consumer Price Index,5,COP26,4,COP28,1,COP29,1,Copper,3,Coronavirus,107,Corporate Communication,1,Corporate Governance,4,Corporate Social Responsibility,4,Corruption,4,Costa Rica,2,Counter Intelligence,15,Counter Terrorism,81,COVID,9,COVID Vaccine,6,CPEC,8,CPG,5,Credit,2,Credit Rating,3,Credit Score,1,Crimea,4,Critical Minerals,1,CRM,1,Croatia,2,Crypto Currency,20,Cryptography,1,CSTO,1,Cuba,7,Culture,5,Currency,9,Customer Exeperience,1,Customer Relationship Management,1,Cyber Attack,9,Cyber Crime,2,Cyber Security & Warfare,117,Cybernetics,5,Cyberwarfare,16,Cyclone,1,Cyprus,5,Czech Republic,5,DACA,1,Dagestan,1,DARPA,3,Data,9,Data Analytics,36,Data Center,4,Data Science,2,Database,3,Daughter.Leslee,1,Davos,1,DEA,1,DeBeers,1,Debt,13,Debt Fund,1,Decision Support System,5,Defense,12,Defense Deals,8,Deflation,1,Deforestation,2,Deloitte,1,Democracy,22,Democrats,2,Demographic Studies,2,Demonetization,6,Denmark. F-35,1,Denuclearization,1,Diamonds,1,Digital,39,Digital Currency,2,Digital Economy,11,Digital Marketing,7,Digital Transformation,11,Diplomacy,14,Diplomatic Row,4,Disaster Management,4,Disinformation,2,Diversity & Inclusion,1,Djibouti,2,Documentary,3,Doklam,2,Dokolam,1,Dominica,2,Donald Trump,52,Donetsk,2,Dossier,2,Drones,14,E-Government,2,E-International Relations,1,Earning Reports,4,Earth Science,2,Earthquake,8,East Africa,2,East China Sea,9,eBook,1,Ebrahim Raisi,1,ECB,1,eCommerce,11,Econometrics,2,Economic Indicator,1,Economic Justice,1,Economics,46,Economy,114,ECOWAS,2,Ecuador,4,Edge Computing,2,Editor's Opinion,59,Education,67,EFTA,1,Egypt,28,Election Disinformation,1,Elections,52,Electric Vehicle,15,Electricity,7,Electronics,9,Emerging Markets,1,Employment,23,Energy,316,Energy Policy,28,Energy Politics,27,Engineering,24,England,2,Enterprise Software Solutions,9,Entrepreneurship,15,Environment,47,ePayments,13,Epidemic,6,ESA,1,Ethiopia,4,Eulogy,4,Eurasia,3,Euro,6,Europe,15,European Union,237,EuroZone,5,Exchange-traded Funds,2,Exclusive,2,Exhibitions,2,Explosives,1,Export Import,6,F-35,6,Facebook,9,Fake News,3,Fallen,1,FARC,2,Farnborough. United Kingdom,2,FATF,1,FDI,6,Featured,1424,Federal Reserve,6,Fidel Castro,1,FIFA World Cup,1,Fiji,1,Finance,18,Financial Markets,60,Financial Planning,1,Financial Statement,2,Finland,5,Fintech,15,Fiscal Policy,14,Fishery,3,Five Eyes,1,Floods,2,Food Security,27,Forces,1,Forecasting,3,Foreign Policy,13,Forex,4,France,37,Free Market,1,Free Syrian Army,4,Free Trade Agreement,1,Freedom,3,Freedom of Press,1,Freedom of Speech,2,French Polynesia,1,Frigate,1,FTC,1,Fujairah,97,Fund Management,1,Funding,23,Future,1,G20,10,G24,1,G7,4,Gaddafi,1,Gambia,2,Gambling,1,Gaming,1,Garissa Attack,1,Gas Price,24,GATT,1,Gaza,15,GCC,11,GDP,14,GDPR,1,Gender Studies,3,Geneal Management,1,General Management,1,Generative AI,8,Genetics,1,Geo Politics,105,Geography,2,Geoint,14,Geopolitics,11,Georgia,12,Georgian,1,geospatial,9,Geothermal,2,Germany,72,Ghana,3,Gibratar,1,Gig economy,1,Glaciology,1,Global Markets,1,Global Perception,1,Global Trade,101,Global Warming,1,Global Water Crisis,11,Globalization,3,Gold,4,Google,20,Gorkhaland,1,Government,128,Government Analytics,1,Government Bond,1,GPS,1,Greater Asia,185,Greece,14,Green Bonds,1,Green Energy,3,Greenland,1,Gross Domestic Product,2,GST,1,Gujarat,6,Gulf of Tonkin,1,Gun Control,4,Hacking,5,Haiti,2,Hamas,12,Hasan,1,Health,8,Healthcare,72,Heatwave,2,Helicopter,12,Heliport,1,Hezbollah,3,High Altitude Warfare,1,High Speed Railway System,1,Hillary 2016,1,Hillary Clinton,1,Himalaya,1,Hinduism,2,Hindutva,4,History,10,Home Security,1,Honduras,2,Hong Kong,7,Horn of Africa,5,Housing,17,Houthi,13,Howitzer,1,Human Development,32,Human Resource Management,5,Human Rights,7,Humanitarian,3,Hungary,3,Hunger,3,Hydrocarbon,3,Hydrogen,5,IAEA,2,ICBM,1,Iceland,2,ICO,1,Identification,2,IDF,1,Imaging,2,IMEEC,2,IMF,77,Immigration,21,Impeachment,1,Imran Khan,1,Independent Media,73,India,686,India's,1,Indian Air Force,19,Indian Army,7,Indian Nationalism,1,Indian Navy,28,Indian Ocean,24,Indices,1,Indigenous rights,1,Indo-Pacific,9,Indonesia,25,IndraStra,1,Industrial Accidents,4,Industrial Automation,2,Industrial Safety,4,Inflation,10,Infographic,1,Information Leaks,1,Infrastructure,3,Innovations,22,Insider Trading,1,Insurance,3,Intellectual Property,3,Intelligence,5,Intelligence Analysis,8,Interest Rate,3,International Business,13,International Law,11,International Relations,9,Internet,53,Internet of Things,35,Interview,8,Intra-Government,5,Investigative Journalism,4,Investment,33,Investor Relations,1,IPEF,1,iPhone,1,IPO,4,Iran,212,Iraq,54,IRGC,1,Iron & Steel,5,ISAF,1,ISIL,9,ISIS,33,Islam,12,Islamic Banking,1,Islamic State,86,Israel,152,ISRO,1,IT ITeS,136,Italy,10,Ivory Coast,1,Jabhat al-Nusra,1,Jack Ma,1,Jamaica,3,Japan,95,JASDF,1,Jihad,1,JMSDF,1,Joe Biden,8,Joint Strike Fighter,5,Jordan,7,Journalism,6,Judicial,4,Julian Assange,1,Justice System,3,Kamala Harris,3,Kanchin,1,Kashmir,10,Kaspersky,1,Kazakhstan,26,Kenya,6,Khalistan,2,Kiev,1,Kindle,700,Knowledge Management,4,Korean Conflict,1,Kosovo,2,Kubernetes,1,Kurdistan,8,Kurds,10,Kuwait,7,Kyrgyzstan,9,Labor Laws,10,Labor Market,4,Land Reforms,3,Land Warfare,21,Languages,1,Laos,2,Large language models,1,Laser Defense Systems,1,Latin America,84,Law,6,Leadership,3,Lebanon,12,Legal,11,LGBTQ,2,Li Keqiang,1,Liberalism,1,Library Science,1,Libya,14,Liechtenstein,1,Lifestyle,1,Light Battle Tank,1,Linkedin,1,Lithium,1,Lithuania,1,Littoral Warfare,2,Livelihood,3,Loans,11,Lockdown,1,Lone Wolf Attacks,3,Lugansk,2,Macedonia,1,Machine Learning,8,Madagascar,1,Mahmoud,1,Main Battle Tank,3,Malaysia,12,Maldives,13,Mali,7,Malware,2,Management Consulting,6,Manpower,1,Manto,1,Manufacturing,16,Marijuana,1,Marine Biology,1,Marine Engineering,3,Maritime,51,Market Research,2,Marketing,38,Mars,2,Martech,10,Mass Media,30,Mass Shooting,1,Material Science,2,Mauritania,1,Mauritius,2,MDGs,1,Mechatronics,2,Media War,1,MediaWiki,1,Medical,1,Medicare,1,Mediterranean,12,MENA,6,Mental Health,4,Mercosur,2,Mergers and Acquisitions,19,Meta,2,Metadata,2,Metals,3,Mexico,14,Micro-finance,4,Microsoft,12,Migration,19,Mike Pence,1,Military,113,Military Exercise,12,Military Service,2,Military-Industrial Complex,3,Mining,16,Missile Launching Facilities,6,Missile Systems,57,Mobile Apps,3,Mobile Communications,12,Mobility,4,Modi,8,Moldova,1,Monaco,1,Monetary Policy,6,Money Market,2,Mongolia,11,Monkeypox,1,Monsoon,1,Montreux Convention,1,Moon,4,Morocco,2,Morsi,1,Mortgage,3,Moscow,2,Motivation,1,Mozambique,1,Mubarak,1,Multilateralism,2,Mumbai,1,Muslim Brotherhood,2,Mutual Funds,2,Myanmar,30,NAFTA,3,NAM,2,Namibia,1,Nanotechnology,4,Narendra Modi,4,NASA,14,NASDAQ,1,National Identification Card,1,National Security,5,Nationalism,2,NATO,34,Natural Disasters,16,Natural Gas,33,Natural Language Processing,1,Nauru,1,Naval Aviation,1,Naval Base,5,Naval Engineering,24,Naval Intelligence,2,Naval Postgraduate School,2,Naval Warfare,50,Navigation,2,Navy,23,NBC Warfare,2,NDC,1,Nearshoring,1,Negotiations,2,Nepal,13,Netflix,1,Neurosciences,7,New Caledonia,1,New Delhi,4,New Normal,1,New York,5,New Zealand,7,News,1320,News Publishers,1,Newspaper,1,NFT,1,NGO,1,Nicaragua,1,Niger,3,Nigeria,10,Nikki Haley,1,Nirbhaya,1,Noble Prize,1,Non Aligned Movement,1,Non Government Organization,4,Nonproliferation,2,North Africa,23,North America,55,North Korea,59,Norway,5,NSA,1,NSG,2,Nuclear,41,Nuclear Agreement,32,Nuclear Doctrine,2,Nuclear Energy,7,Nuclear Fussion,1,Nuclear Propulsion,2,Nuclear Security,47,Nuclear Submarine,1,NYSE,2,Obama,3,ObamaCare,2,OBOR,15,Ocean Engineering,1,Oceania,2,OECD,5,OFID,5,Oil & Gas,388,Oil Gas,7,Oil Price,77,Olympics,2,Oman,25,Omicron,1,Oncology,1,Online Education,5,Online Reputation Management,1,OPEC,130,Open Access,1,Open Journal Systems,2,Open Letter,1,Open Source,4,OpenAI,2,Operation Unified Protector,1,Operational Research,4,Opinion,707,Opinon Poll,1,Optical Communications,1,Pacific,5,Pakistan,183,Pakistan Air Force,3,Pakistan Army,1,Pakistan Navy,3,Palestine,26,Palm Oil,1,Pandemic,84,Papal,1,Paper,3,Papers,110,Papua New Guinea,2,Paracels,1,Partition,1,Partnership,1,Party Congress,1,Passport,1,Patents,2,PATRIOT Act,1,Peace Deal,6,Peacekeeping Mission,1,Pension,1,People Management,1,Persian Gulf,19,Peru,6,Petrochemicals,1,Petroleum,19,Pharmaceuticals,15,Philippines,19,Philosophy,2,Photos,3,Physics,1,Pipelines,6,PLA,2,PLAN,4,Plastic Industry,2,Poland,8,Polar,1,Policing,1,Policy,8,Policy Brief,6,Political Studies,1,Politics,56,Polynesia,3,Pope,1,Population,7,Portugal,1,Poverty,8,Power Transmission,6,Preprint,1,President APJ Abdul Kalam,2,Presidential Election,34,Press Release,158,Prison System,1,Privacy,18,Private Debt Fund,1,Private Equity,3,Private Military Contractors,2,Privatization,1,Programming,1,Project Management,4,Propaganda,5,Protests,14,Psychology,3,Public Policy,55,Public Relations,1,Public Safety,7,Publications,1,Publishing,8,Purchasing Managers' Index,1,Putin,7,Q&A,1,Qatar,114,QC/QA,1,Qods Force,1,Quad,1,Quantum Computing,4,Quantum Physics,4,Quarter Results,2,Racial Justice,2,RADAR,2,Rahul Guhathakurta,4,Railway,9,Raj,1,Ranking,4,Rape,1,RBI,1,RCEP,2,Real Estate,7,Recall,4,Recession,2,Red Sea,6,Referendum,5,Reforms,18,Refugee,23,Regional,4,Regulations,2,Rehabilitation,1,Religion & Spirituality,9,Renewable,18,Report,4,Reports,51,Repository,1,Republicans,3,Rescue Operation,2,Research,5,Research and Development,25,Restructuring,1,Retail,36,Revenue Management,1,Rice,1,Risk Management,5,Robotics,8,Rohingya,5,Romania,3,Royal Canadian Air Force,1,Rupee,1,Russia,325,Russian Navy,6,Saab,1,Saadat,1,SAARC,6,Safety,1,SAFTA,1,SAM,2,Samoa,1,Sanctions,6,SAR,1,SAT,1,Satellite,14,Saudi Arabia,130,Scandinavia,6,Science & Technology,406,Science Fiction,1,SCO,5,Scotland,6,Scud Missile,1,Sea Lanes of Communications,4,SEBI,4,Securities,2,Security,6,Semiconductor,21,Senate,4,Senegal,1,SEO,5,Serbia,4,Services Sector,1,Seychelles,3,SEZ,1,Shadow Bank,1,Shale Gas,4,Shanghai,1,Sharjah,12,Shia,6,Shinzo Abe,1,Shipping,11,Shutdown,2,Siachen,1,Sierra Leone,1,Signal Intelligence,1,Sikkim,5,Silicon Valley,1,Silk Route,6,Simulations,2,Sinai,1,Singapore,17,Situational Awareness,20,Small Modular Nuclear Reactors,1,Smart Cities,7,Smartphones,1,Social Media,1,Social Media Intelligence,40,Social Policy,40,Social Science,1,Social Security,1,Socialism,1,Soft Power,1,Software,8,Software Engineering,1,Solar Energy,17,Somalia,5,South Africa,20,South America,53,South Asia,493,South China Sea,36,South East Asia,83,South Korea,66,South Sudan,4,Sovereign Wealth Funds,1,Soviet,2,Soviet Union,9,Space,47,Space Station,3,Spaceflight,1,Spain,9,Special Education,1,Special Forces,1,Sports,3,Sports Diplomacy,1,Spratlys,1,Sri Lanka,25,Stablecoin,1,Stamps,1,Startups,43,State of the Union,1,Statistics,1,STEM,1,Stephen Harper,1,Stock Markets,29,Storm,2,Strategy Games,5,Strike,1,Sub-Sahara,4,Submarine,16,Sudan,6,Sunni,6,Super computing,1,Supply Chain Management,48,Surveillance,13,Survey,5,Sustainable Development,18,Swami Vivekananda,1,Sweden,4,Switzerland,6,Syria,112,Taiwan,34,Tajikistan,12,Taliban,17,Tamar Gas Fields,1,Tamil,1,Tanzania,4,Tariff,5,Tata,3,Taxation,25,Tech Fest,1,Technology,13,Tel-Aviv,1,Telecom,24,Telematics,1,Territorial Disputes,1,Terrorism,78,Testing,2,Texas,3,Thailand,12,The Middle East,662,Think Tank,317,Tibet,3,TikTok,2,Tim Walz,1,Tobacco,1,Tonga,1,Total Quality Management,2,Town Planning,3,TPP,2,Trade Agreements,14,Trade War,10,Trademarks,1,Trainging and Development,1,Transcaucasus,22,Transcript,4,Transpacific,2,Transportation,47,Travel and Tourism,16,Tsar,1,Tunisia,7,Turkey,75,Turkmenistan,10,U.S. Air Force,3,U.S. Dollar,2,UAE,140,UAV,23,UCAV,1,Udwains,1,Uganda,1,Ukraine,115,Ukraine War,28,Ummah,1,UNCLOS,7,Unemployment,2,UNESCO,1,UNHCR,1,UNIDO,2,United Kingdom,85,United Nations,28,United States,784,University and Colleges,4,Uranium,2,Urban Planning,10,US Army,12,US Army Aviation,1,US Congress,1,US FDA,1,US Navy,18,US Postal Service,1,US Senate,1,US Space Force,2,USA,16,USAF,22,USV,1,UUV,1,Uyghur,3,Uzbekistan,13,Valuation,1,Vatican,3,Vedant,1,Venezuela,21,Venture Capital,4,Vibrant Gujarat,1,Victim,1,Videogames,1,Vietnam,26,Virtual Reality,7,Vision 2030,1,VPN,1,Wahhabism,3,War,1,War Games,1,Warfare,1,Water,18,Water Politics,8,Weapons,11,Wearable,2,Weather,2,Webinar,1,WeChat,1,WEF,3,Welfare,1,West,2,West Africa,19,West Bengal,2,Western Sahara,2,Whales,1,White House,1,Whitepaper,2,WHO,3,Wholesale Price Index,1,Wikileaks,2,Wikipedia,3,Wildfire,1,Wildlife,3,Wind Energy,1,Windows,1,Wireless Security,1,Wisconsin,1,Women,10,Women's Right,14,Workers Union,1,Workshop,1,World Bank,38,World Economy,33,World Peace,10,World War I,1,World War II,3,WTO,6,Wyoming,1,Xi Jinping,9,Xinjiang,2,Yemen,29,Yevgeny Prigozhin,1,Zbigniew Brzezinski,1,Zimbabwe,2,
ltr
item
IndraStra Global: Inventing the “Google” for Predictive Analytics
Inventing the “Google” for Predictive Analytics
Platform analyzes big data to answer plain-language business queries in minutes instead of months.
https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjeuiizRtPmu5h6CPVh9HHt5r3rNp5FVGNP5XOTfxrj5ExPOT1P75_Lnen05pg3Z1HhYilmtkTwAF8EUfw1Rylo7ehL0YAu6CSqgkZem7N27LMNOTbUDa52h6x2War7hw0Hao4rRFtkcBoR/s640/big-data.jpg
https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjeuiizRtPmu5h6CPVh9HHt5r3rNp5FVGNP5XOTfxrj5ExPOT1P75_Lnen05pg3Z1HhYilmtkTwAF8EUfw1Rylo7ehL0YAu6CSqgkZem7N27LMNOTbUDa52h6x2War7hw0Hao4rRFtkcBoR/s72-c/big-data.jpg
IndraStra Global
https://www.indrastra.com/2017/12/Inventing-Google-for-Predictive-Analytics-003-12-2017-0020.html
https://www.indrastra.com/
https://www.indrastra.com/
https://www.indrastra.com/2017/12/Inventing-Google-for-Predictive-Analytics-003-12-2017-0020.html
true
1461303524738926686
UTF-8
Loaded All Posts Not found any posts VIEW ALL Readmore Reply Cancel reply Delete By Home PAGES POSTS View All RECOMMENDED FOR YOU LABEL ARCHIVE SEARCH ALL POSTS Not found any post match with your request Back Home Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sun Mon Tue Wed Thu Fri Sat January February March April May June July August September October November December Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec just now 1 minute ago $$1$$ minutes ago 1 hour ago $$1$$ hours ago Yesterday $$1$$ days ago $$1$$ weeks ago more than 5 weeks ago Followers Follow THIS PREMIUM CONTENT IS LOCKED STEP 1: Share to a social network STEP 2: Click the link on your social network Copy All Code Select All Code All codes were copied to your clipboard Can not copy the codes / texts, please press [CTRL]+[C] (or CMD+C with Mac) to copy Table of Content