Connect with us

Data Analytics

DataRobot Announces Automated Time Series Solution that Allows Frontline Business People to Predict the Future




New Offering Solves Time-Dependent Business Problems with Nutonian’s Eureqa Forecasting Technology and DataRobot’s Automated Machine Learning Breakthroughs

Boston, August 9, 2018 — DataRobot, the pioneering architects of automated machine learning, today announced the general availability of DataRobot Time Series. Following an extensive collaboration with more than 75 customers and world-class data scientists, this latest breakthrough completely automates sophisticated time series modeling. Finally, frontline business people can quickly build highly accurate forecasts for a diverse array of time-dependent prediction opportunities.

Until now, handling time-dependency modeling required highly specialized expertise to even set up the problem correctly. Conventional modeling uses randomly selected records from a dataset to build and evaluate predictive models. For example, a representative sample of loan records and whether a customer defaulted. Each record is relatively similar.

Not so with time series. Temporal relationships matter. And there are so many potential ones to consider. Do you want to predict demand for a product three days from now? What day of the week is that? How does demand on that day of the week vary with demand on the other days? For the same day in previous weeks? Where does the week fall within the month? Does that matter? How about within the quarter? How is this month and this quarter comparing so far to last month and last quarter? The same month and quarter a year ago? Two years through 10 years ago? Is that a holiday in any location of interest and how does holiday performance differ? What promotions have you run and when did you run them? How have such promotions performed under similar temporal conditions?

Building on the 2017 acquisition of Nutonian, Inc. and its proven Eureqa modeling engine, DataRobot Time Series understands all these questions and how to set up the problem based on the answers. Then the DataRobot automation platform constructs and evaluates hundreds to thousands of different time series models and scores their performance – taking into account all the different temporal conditions to determine real world accuracy.

DataRobot Time Series beta customers, including Fortune 2000 retailers, banks, and hospital networks, have quickly built accurate models for staffing, inventory management, demand forecasting, financial applications, and more – all without the need for manual forecasting, specialized data science expertise, and custom coding.

“Forecasting underpins most critical business functions. If you can predict the future, you can usually win the game. But it is one of the hardest problems in data science. Since the Nutonian acquisition last May, we’ve been on a massive undertaking to combine Nutonian and DataRobot innovations into the best time series product in the world. This fourth version, which has been extensively tested by customers in production, automates a wide array of advanced best practices in areas like feature engineering and thereby achieves a whole new level of accuracy,” said Michael Schmidt, Chief Scientist, DataRobot.

This new version, which is available now, includes advanced machine learning models for forecasting, as well as essential time series methods like ARIMA and Facebook Prophet. Full API support helps AI engineers integrate modeling and prediction directly into business processes and applications.

“Time series machine learning has historically resisted automation,” says Srikant Datar, Professor of Business Administration and Faculty Chair of the Harvard Innovation Lab at Harvard Business School. “Having worked with DataRobot’s Time Series product for the past several months, including delivering real financial applications, I’m amazed at what is possible and how easily models can be built.”

Steward Health Care, the largest for-profit private hospital operator in the United States, is using DataRobot to significantly improve operational efficiency and reduce costs among their network of 38 hospitals across the nation. Sixty percent of hospital operational expenses come from staffing alone. With DataRobot’s improved forecasts for patient volume, Steward’s potential labor savings amount to $2 million by reducing hospital overstaffing by 1 percent for eight of the 38 hospitals in Steward’s network.

“We have data – a lot of data – and we want to use it to our advantage,” said Erin Sullivan, executive director of information systems and software development at Steward Health Care. “DataRobot has the tools to help us take historical data, manipulate it, and learn from it. We’ve already experienced tremendous cost and time savings with DataRobot, and these latest advancements will further transform how we forecast nurse staffing and patients’ length of stay—both of which will yield significant benefits for our hospital network.”

To learn more about DataRobot Time Series and the product’s modeling and forecasting capabilities, visit or join a webinar, “Using AI and Time Series Machine Learning Methods to Improve Demand Forecasting Models” on Thursday, September 6th at 1:00 pm ET.

About DataRobot

DataRobot offers an enterprise machine learning platform that empowers users of all skill levels to develop and deploy machine learning and AI faster. Incorporating a library of hundreds of the most powerful open source machine learning algorithms, the DataRobot platform automates, trains, and evaluates models in parallel, delivering AI applications at scale. DataRobot provides the fastest path to AI success for organizations of all sizes. For more information, visit

Continue Reading

Data Analytics

Teradata Accelerates Sasol’s Digitization Journey with Cloud-Based Analytics Architecture




Company wins prestigious Opti Award for innovative enterprise-ready analytical ecosystem

Teradata (NYSE: TDC), the leading cloud-based data and analytics company, today announced that Sasol, a major international chemicals and energy company, is partnering with Teradata to create a robust analytical ecosystem that supports the company’s vision for creating a data-driven business strategy.

Sasol – which operates in 33 countries with revenue topping $21 billion – began a digitization strategy in 2015 with the goal of enabling the organization to generate, manage and use data-driven insights faster. Sasol’s enterprise information management team worked with Teradata, via the South Africa-based BYTES Technology Group, to define a new data architecture with methods and processes that enable Sasol to construct an enterprise-wide analytics program that reduces costs and improves the customer experience.

“Sasol understands the power of data and the value it can bring to day-to-day operations,” said Marius Brand, Senior Vice President for Strategy and Continuous Improvement at Sasol. “By leveraging Teradata’s expertise, we created an integrated data platform that consists of technology components, processes and methodologies that will enable a self-service environment in which our business units are able to identify intelligence and insights specific to their individual needs. The net result is that Sasol now has an environment that is enterprise-ready, so we can continue on the path of achieving a reliable, agile and extensible analytical enterprise that supports our business needs.”

At the center of this new analytical ecosystem is a cost-effective, sustainable and flexible cloud-based agile data platform. This well-governed, secure data platform supports scalable analytics in the cloud that enable new technical capabilities that include: high concurrency usage; data lab governance to empower analysts to develop their own data views and products; and an open and interoperable environment that is flexible and elastic to meet business demands.

By taking advantage of Teradata’s do-it-yourself deployment option via the Microsoft Azure Marketplace, Sasol was able to develop a full analytical ecosystem in just two months, ensuring its team was ready to support multiple corporate initiatives in operations, finance and supply chain. The cloud deployment also gave Sasol the scalability and flexibility it needed for its operational dollars, avoiding a major capital investment.

For its innovative solution, Sasol has been named the winner of the Teradata Opti Award in the prestigious “cloud revolution” category. Sasol was selected for the award by an independent panel of judges for harnessing the power of the cloud to extract new insights that lead to meaningful business outcomes. Johanna Malan, Sasol’s Vice President for Enterprise Information Management and Information Security, will present the company’s solution during Teradata Analytics Universe 2018.

“Digitization is disrupting the oil and gas industry, and Sasol is catapulting to the forefront of this digitization journey by embracing cloud-based analytics at scale,” said Malan. “Sasol understands that the winners of the digital revolution will embrace the power of their data and take the necessary steps to make that data understandable and actionable.”

Future projects could allow Sasol to innovate even further, such as using drones to fly along pipelines to monitor and transmit multiple types of sensor data for algorithms to detect pipeline asset health and monitor equipment inspections. Sasol’s global digitalization program, enabled by Teradata technology, is primed to deliver additional business value, by applying a wide range of data and digital solutions to remain competitive and relevant:

  • Enriching customer experience and supporting market growth by addressing customer pain points and utilizing masses of customer and market data;
  • Improving­­­ decision making and productivity by applying selective business process automation across a wide range of functional areas; and
  • Increasing operational throughput and efficiency through predictive maintenance and energy optimization using vast data points managed through the data ecosystem.

About Sasol

Sasol is a global integrated chemicals and energy company. Through our talented people, we use selected technologies to safely and sustainably source, produce and market chemical and energy products competitively to create superior value for our customers, shareholders and other stakeholders.


Teradata transforms how businesses work and people live through the power of data. Teradata leverages all of the data, all of the time, so you can analyze anything, deploy anywhere, and deliver analytics that matter. We call this pervasive data intelligence. And it’s the answer to the complexity, cost, and inadequacy of today’s approach to analytics. Get the answer at

Continue Reading

Data Analytics

Live Data Management Platform Rapidly Aggregates and Unifies Varied Data Sources, Offers Tableau Server, Online, and Now Desktop Users Self-Service Analytics and Enables Real-Time Data Visualizations




MOUNTAIN VIEW, Calif. and AUSTIN, Texas – November 8, 2016 – Treasure Data, a leading cloud platform to make all data connected, current, and easily accessible, today announced full-stack integration with Tableau, adding new support for Tableau Desktop to expand upon its long time support for both Tableau Server and Tableau Online. By rapidly collecting and unifying data from various sources spread out across the enterprise and cloud, Treasure Data’s new Live Business Intelligence (BI) Connector for Tableau empowers business analytics teams to gain faster access and insights from their data sets. Treasure Data will be showcasing its new Live BI Connector at Booth #309 at the Tableau Conference, November 7-11 in Austin, Texas.

More than thirty companies, including Shiseido and MobilityWare, already benefit from the integration of Treasure Data with Tableau. With new Live BI Connector integration for Tableau, Treasure Data helps users gain an even better understanding of customer behavior at the speed of business – pairing intuitive dashboards with a high-powered data processing engine to enable business leaders to spot trends, identify market opportunities, and make data-based decisions with confidence, in real-time.

“It is no secret that the data points any enterprise is currently sitting on are growing exponentially by the day. The companies that are winning in their markets are those that have the know-how and systems in place to empower more of its workforce to make data-based decisions — resulting in faster, more predictable, and positive business outcomes,” said Hiro Yoshikawa, Treasure Data CEO & Founder. “Together with Tableau, we’re helping to unleash the power of analytics to more people — enabling them to access and visualize the data that matters most to their job role, their department, and their company.”

Treasure Data will showcase the new Live BI Connector for Tableau at the 2016 Tableau Conference in Austin, Texas — an event that gathers Tableau experts, partners, and customers to discuss, connect, and learn about data and analytics.

“The full-stack integration of Tableau with Treasure Data provides our mutual customers with the ability to efficiently aggregate and analyze data  to make more informed decisions regarding their business,” said Dan Kogan, Director of Product Marketing at Tableau. “We’re thrilled to partner with Treasure Data to empower our customers to tell powerful stories with data.”

For more information about how Treasure Data’s Live Data Management platform can transform the enterprise, please visit:

About Treasure Data

Treasure Data is a pioneer of Live Data Management – making all your organization’s data connected, current, and easily accessible to the people and algorithms that drive your business success. With a global customer base including Mitsubishi Heavy Industries, Pioneer, Subaru, Wish, and Pebble, Treasure Data’s clients generate more than two million events every second and make nearly seven million data queries monthly, resulting in more predictable and profitable business results. Founded in 2011 in Mountain View, California, with offices in Japan and Korea, Treasure Data is backed by Sierra VenturesScale Venture PartnersIT FarmSBIINCJ, Bill Tai, and Jerry Yang’s AME Cloud Ventures, among others. For more information, visit

Continue Reading

Data Analytics

Flytxt launches Robo-X, the Artificial Intelligence companion for marketers




  • AI decisions throughout customer engagement cycle – from planning and execution to measurement and optimization

Dubai: Flytxt today announced the launch of Robo-X, a first-of-its-kind Artificial Intelligence (AI) for Customer Engagement, which harnesses AI and Machine Learning to produce better marketing outcomes.

Robo-X is an AI designed to work alongside marketers –¬ whether that’s identifying new upsell and cross-sell opportunities, discovering insightful patterns, advising on offers and campaigns or assessing performance and indicating areas for improvement. It uses Flytxt’s proprietary AI platform and machine learning algorithms to discover important relations between consumers, products, offers, channels and competitive environment and how they impact business outcomes.

The automated and timely decision-making power of Robo-X exponentially increases the agility and scale of marketing, allowing even a less experienced marketer to become highly effective in maximizing the value of each customer interaction.

Robo-X is available as an add-on module to the company’s market-leading, flagship product NEON-dX, which is already delivering 2-7% uplift on net revenue for more than 100 clients of Flytxt around the world, including 60-plus telecoms operators. Through its proven packaged analytical models and dashboards for driving omni-channel digital engagement, NEON-dX allows enterprises to learn individual customer behavior and harness this data when creating campaigns.

Dr Vinod Vasudevan, CEO of Flytxt, said: “Robo-X is one example of how society is witnessing the impact of the Fourth Industrial Revolution. The powerful amalgamation of technologies, such as Data Analytics, Artificial Intelligence and Machine Learning, is influencing so many aspects of our lives – both personally and professionally.

“Robo-X is an AI that can take marketing decisions on its own. As an intelligent companion for marketers, it will act as a force multiplier, increasing uplifts in revenue through campaigns run on NEON-dX.

“NEON-dX already offers a unique competitive advantage to some of the biggest companies around the world in some of the most innovative sectors, such as telecoms, financial services and travel. With the addition of Robo-X, marketers can now harness the power of artificial intelligence to create personalized customer interactions with a level of precision and scale that is beyond human capability, whether they are veterans of the industry or just beginners.”

Robo-X comes with powerful features such as:

Campaign Construction Advice: Robo-X uses AI to help marketers construct their program. The advisor function analyzes data from previous campaigns then makes suggestions to the marketer as they are building the campaign. For example, if it is an offer, Robo-X will leverage what it has learned in the past to advise on parameters such as demographics, geographies, and even the price.

Live Campaign Optimization: Robo-X continuously observes and benchmarks campaigns while they are running and prescribes corrective actions that will increase their impact. Such prescriptions help marketers to immediately respond and improve underperforming campaigns and scale up those that are doing well, increasing the overall outcome.

vAutomated Performance Guidance: Robo-X rates the performance of each individual campaign against the others as well as discovers reasons why some are successful, and others are not. Robo-X acts a trusted guide for the marketer, pointing out what is going well and what is not along with the reasons why, prioritizing and focusing the attention of the marketer on elements that will drive better business outcomes.

vMachine Learned Personalization: Robo-X creates personalized interactions to maximize the positive response from each customer using machine learning and optimization based on dynamic customer behavior, business strategy and customer context, as well as the feedback from each interaction. For instance, it creates personalized up sell and cross sell offers that best suit the expectations of the customer and strategy of the enterprise, continuously learning to adapt and improve itself.

The launch of Robo-X coincides with Flytxt’s 10th anniversary. Today, the company is one of the leading suppliers of AI, Machine Learning and Data Analytics solutions for customer engagement to telecom enterprises. Robo-X is based on more than 20 patented technologies developed over several years of research in association with IIT, Delhi, and TNO in the Netherlands.

Flytxt’s client base consists of more than 100 businesses across a global network of 50 countries, including more than 60 communications service providers, such as Vodafone, MTN, America Movil, Viettel, Airtel, and Zain Group.
Dr Vasudevan said: “So much of our success is due to delivering measurable returns for our clients, who see the impact almost immediately after taking up NEON-dX.

“Our next generation software is already being used by the world’s leading data-intensive businesses. We expect more growth now with firms in more sectors realizing the impact that the powerful combination of Artificial Intelligence, Data Analytics and Marketing Automation can have on their revenue.”

Flytxt, backed by leading technology investors from Germany and The Netherlands, expects to grow its business by 10 times over the next 5 years, investing USD 50 million through a combination of debt and equity.

The company’s headquarters is in The Netherlands, corporate offices in the United Arab Emirates and development facilities in India.

Continue Reading
instrutech19 hours ago

Insurance technology trends transforming our future

Telemedicine2 days ago

Applications of Telemedicine

instrutech1 week ago

Technology and innovation changing insurance sector

Uncategorized2 weeks ago

Factors driving telemedicine towards growth

Telemedicine2 weeks ago

Get to know all about telemedicine

Health3 weeks ago

Viruses: Biological versus Computer  

By Mark Webb-Johnson, Chief Technology Officer of Network Box
Telemedicine3 weeks ago

Technologies used in telemedicine

Telemedicine3 weeks ago

Telemedicine: New face of medical sector

instrutech4 weeks ago

Technologies transforming insurance industry

LegalTech4 weeks ago

The step of legal sector towards technology

LegalTech1 month ago

Most crucial legal technology development in past few years

LegalTech1 month ago

What is legal technology and how it is changing business sectors?

Who all can be leveraged by fintech industry
FinTech1 month ago

Who all can be leveraged by fintech industry?

Banking1 month ago

A guide to finance technology

Importance of Cell biology
BioTech2 months ago

Importance of Cell biology

Antibiotics and vaccines A gift of biotechnology
BioTech2 months ago

Antibiotics and vaccines: A gift of biotechnology

Applications of environmental biotechnology
BioTech2 months ago

Applications of environmental biotechnology

Artificial intelligence boosting fintech companies
FinTech2 months ago

Artificial intelligence boosting fintech companies

FinTech2 months ago

Robo-Advisor and its key benefits in Fintech

Recombination of DNA A drift of transformation in medical sector
BioTech2 months ago

Recombination of DNA: A drift of transformation in medical sector

Technologies that contributes in fintech sector
FinTech2 months ago

Technologies that contributes in fintech sector

Biotechnology endorsing health solutions-min
BioTech2 months ago

Biotechnology endorsing health solutions

BioTech2 months ago

Biotechnology promoting green energy

Legal3 months ago

litigation A detailed note on litigation

BioTech3 months ago

Bioprinting: A Transformation In The Sector Of Medical Science