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Climbing the ranks in automation

By News Aggregator

By Zenobia Hedge

The top three countries that are leaders in manufacturing have remained fairly similar over the last few decades. The US, China and Germany have continued evolving to export a large amount of products to the world. To remain high in the ranks, these countries have adopted automation, optimised their manufacturing processes and advanced production processes.

Strong economy and large populations suggest that these countries will remain leaders in manufacturing and automation for years to come. However, as the industry grows, smaller countries are beginning to emerge as competitors in the industry, says Jonathan Wilkins, marketing director at EU Automation.

North and South America

Many countries in South America are driven by manufacturing. For example, in Chile, manufacturing contributes towards around 16% of the gross domestic product (GDP) and over 14% of the working population are employed in a manufacturing role.

States in Northern America are also looking south to improve their manufacturing sector. As the world’s eleventh largest economy, Mexico excels in a range of industries such as aerospace, automotive and food and beverage. The automation industry in Mexico is growing rapidly, with over 6,320 robotic units sold in 2015, tripling previous figures.

Mexico is also looking to greaten its presence in the global manufacturing industry by increasing company growth.The country is the first Spanish-speaking nation to partner with Germany at Hannover Messe 2018. At the trade show, Mexico intends to exhibit its new technologies and strengthen its international trade relations.

Central Europe

Western European countries such as the UK and Germany are regarded as the manufacturing leaders of Europe. However, some central European countries have rapidly growing economies due to their investment in manufacturing. Poland, for example, has seen its economy triple in the last decade.

Manufacturing exports contribute towards 33% of the GDP in Poland, compared to an average of 22% among other emerging nations. With a population of over 40 million, more jobs are created to meet the industry demand and support the growing economy.

Poland’s increasing presence in the manufacturing industry was highlighted when they were invited to be the partner country exhibiting at Hannover Messe 2017. As one of the fastest growing markets for automation, the country is now one of Germany’s most lucrative trading partners.

The Mighty-Five

The Asia Pacific region is one of the key players in automation, with Japan and China relying on automated factories to ensure a successful manufacturing industry. Smaller countries are beginning to invest in this technology to experience the benefits and grow their economies.

A group of countries known as the Mighty-Five are expected to rapidly evolve as manufacturing competitors over the next decade. Malaysia, India, Thailand, Indonesia and Vietnam aim to invest in automation to offer the world low cost labour with high quality results.

The countries each excel in different areas of automation. India’s economy, for example, relies on the IT industry as the largest private employer in the country. Between 2013 and 2014, India exported over $167 billion(€143.44 billion) worth of IT and software services. The industry is expected to improve further as standard of living continues to improve in the country.

These countries still have a long way to go to compete with manufacturing giants, such as China or the US. Yet the rapid growth of automation in these countries suggests that the global manufacturing sector may look very […]

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Ultra-low power Pervasive Displays e-paper screen added to pioneering IoT development board

By News Aggregator

By Zenobia Hedge

Pervasive Displays (PDi), a provider in e-paper displays, announces its ultra-low power displays have been incorporated into a pioneering Internet of Things (IoT) development board from Cypress Semiconductor Corp. that enables device designers to benefit from a human-readable screen requiring very low amounts of power.

Created for use in a variety of IoT applications, such as fitness and health wearables, smart home and smart metering, the Cypress PSoC® 6 BLE Pioneer Kit helps engineers take advantage of the benefits of displays in their designs, without significantly impacting the power budgets.

Adding a display to almost any device including portable health monitors, utility meters and other connected monitoring and control devices, means designers can improve the overall user experience and offer exciting new features.

E-paper displays use much less energy than a traditional TFT liquid crystal display (LCD), because they require no backlight and do not need to be refreshed constantly to maintain a visible image. The savings are striking: an always-on e-paper display, updated half-a-dozen times a day, can use as little as 0.001% of the energy of an LCD equivalent performing the same role. This means a device with an e-paper display can run for months or even years on a small battery.

E-paper displays also offer very wide viewing angles, and because they’re reflective, can be read in bright sunlight and by barcode scanners, unlike TFT LCDs.

Jim Davis, director of Marketing for the MCU Business Unit at Cypress, said: ““PSoC MCUs have always been differentiated by the rich design resources of their analog and digital software-defined peripherals. As a market leader in e-paper displays with a ready supply of high quality screens available off-the-shelf, Pervasive Displays was the ideal partner to implement the display on our PSoC 6 BLE Pioneer Kit. This board gives our customers the best of both worlds: the processing performance combined with an ultra-low power architecture and the flexibility to design differentiated IoT applications.”

Scott Soong, CEO at Pervasive Displays, added: “Many people have already enjoyed the benefits of e-paper displays in their e-reader devices, notably their exceptionally low power use and reflective nature, which makes them easily readable even in very bright lighting. Displays used in IoT applications require similar properties, as they will often need to operate for very long periods on a small battery, and be easily readable in a variety of lighting conditions. A Pervasive Displays e-paper display is the ideal solution for anyone wanting to add a human-readable screen to a battery-powered, connected device.”

Designers wishing to purchase the Cypress PSoC® 6 BLE Pioneer Kit can obtain them from distributors including Mouser, Digi-Key, RS Components, Future, Arrow and Farnell.

Comment on this article below or via Twitter: @IoTNow_OR @jcIoTnow

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Ultra-low power Pervasive Displays e-paper screen added to pioneering IoT development board

By Zenobia Hedge

Pervasive Displays (PDi), a provider in e-paper displays, announces its ultra-low power displays have been incorporated into a pioneering Internet of Things (IoT) development board from Cypress Semiconductor Corp. that enables device designers to benefit from a human-readable screen requiring very low amounts of power.

Created for use in a variety of IoT applications, such as fitness and health wearables, smart home and smart metering, the Cypress PSoC® 6 BLE Pioneer Kit helps engineers take advantage of the benefits of displays in their designs, without significantly impacting the power budgets.

Adding a display to almost any device including portable health monitors, utility meters and other connected monitoring and control devices, means designers can improve the overall user experience and offer exciting new features.

E-paper displays use much less energy than a traditional TFT liquid crystal display (LCD), because they require no backlight and do not need to be refreshed constantly to maintain a visible image. The savings are striking: an always-on e-paper display, updated half-a-dozen times a day, can use as little as 0.001% of the energy of an LCD equivalent performing the same role. This means a device with an e-paper display can run for months or even years on a small battery.

E-paper displays also offer very wide viewing angles, and because they’re reflective, can be read in bright sunlight and by barcode scanners, unlike TFT LCDs.

Jim Davis, director of Marketing for the MCU Business Unit at Cypress, said: ““PSoC MCUs have always been differentiated by the rich design resources of their analog and digital software-defined peripherals. As a market leader in e-paper displays with a ready supply of high quality screens available off-the-shelf, Pervasive Displays was the ideal partner to implement the display on our PSoC 6 BLE Pioneer Kit. This board gives our customers the best of both worlds: the processing performance combined with an ultra-low power architecture and the flexibility to design differentiated IoT applications.”

Scott Soong, CEO at Pervasive Displays, added: “Many people have already enjoyed the benefits of e-paper displays in their e-reader devices, notably their exceptionally low power use and reflective nature, which makes them easily readable even in very bright lighting. Displays used in IoT applications require similar properties, as they will often need to operate for very long periods on a small battery, and be easily readable in a variety of lighting conditions. A Pervasive Displays e-paper display is the ideal solution for anyone wanting to add a human-readable screen to a battery-powered, connected device.”

Designers wishing to purchase the Cypress PSoC® 6 BLE Pioneer Kit can obtain them from distributors including Mouser, Digi-Key, RS Components, Future, Arrow and Farnell.

Comment on this article below or via Twitter: @IoTNow_OR @jcIoTnow

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IoT Ag-Tech company Farmobile snaps $18.1M Series B

By News Aggregator

Farmobile, an Agtech company that collects farm data via its hardware and software solution raised a $18.1M Series B round this week. Notable investors that participated in the funding round include Dutch Agtech venture capital firm Anterra Capital, crop insurance provider AmTrust Agriculture Insurance Services and private investors in Kansas City.

Farmobile PUC

The startup, co-founded by Jason Tatge, Heath Gerlock, and Randy Nuss previously raised $5.5M Series A in Dec 2015 from Anterra Capital. The latest round brings Farmobile’s total equity funding to $23.6M since it launched in 2013.

The IoT component of the Farmobile solution is a small device called PUC that installs on farm machinery. The system uses PUC to listen and wirelessly send machine data to a cloud-based Farmobile account. The PUC implement plugs into the ISOBUS of the tractor, or straight back into the terminal. These data collected from the farm is called EFR, or simply put Electronic Field Record. EFRs can then be shared with 3rd parties via Farmobile’s cloud-based dashboard.

Farmers can take corrective actions based as the system allows 3rd parties to remotely upload prescription and documentation files and directly transfer them to machines and operators for immediate use.

The latest round of funding by Farmobile is by far one of the biggest that Agtech startups have raised this year. The Yield, an Australian Agtech startup closed $6.5M Series A round in April this year followed by Agtech startup Freight Farms that closed $7.3M Series B the following month.

As the Agtech market heats up, IoT-based smart farming startups are battling for customers and investment dollars. View our smart agriculture resource page filter and discover IoT agriculture resources.

Read more here:: feeds.feedburner.com/iot

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Seagate launches first drive for artificial intelligence enabled surveillance

By Zenobia Hedge

Seagate Technology plc announced its SkyHawk™ AI hard disk drive (HDD), the first drive created specifically for artificial intelligence (AI) enabled video surveillance solutions. Building on Seagate’s 10-year track record of delivering surveillance optimised storage performance, SkyHawk AI provides unprecedented bandwidth and processing power to manage always-on, data-intensive workloads, while simultaneously analysing and recording footage from multiple HD cameras.

Analytics on video surveillance hardware is growing exponentially, forecasted to increase from 27.6 million shipments in 2016 to 126 million shipments in 2021 (Cropley, 2017), as hardware manufacturers continue to include analytics sensors on network video recorders (NVRs). This will only increase as AI – particularly deep learning and machine learning applications, such as facial recognition and analysing irregularities in behavior – become increasingly prevalent. In parallel, the need for fast video analytics will continue to rise, increasing the workload burden on NVR storage.

“The use of AI technology in surveillance is steadily increasing – both in the edge and backend installations such as retail fronts and large city traffic management. Seagate has led the surveillance storage market since its early days, a decade ago, by delivering industry leading HDD products that have enabled more than 5X increase in exabytes during this time period,” said Sai Varanasi, vice president product line management at Seagate Technology.

“We are excited to introduce smart, purpose-built SkyHawk AI solutions that expand the design space for our customers and partners, allowing them to implement next-generation deep learning and video analytics applications.”

SkyHawk AI is ideal for intensive computational workloads that typically accompany AI work streams, as its high throughput and enhanced caching deliver low latency and excellent random read performance to quickly locate and deliver video images and footage analysis. This enables on-the-edge decision making, eliminating the latency of exchanging cloud-based data and processing.

Equipped with Seagate ImagePerfect™ AI firmware, the drive reliably records high quality, sharp video footage with no dropped frames, while simultaneously facilitating AI-enabled NVR analytics – ensuring that intelligence gathered through video surveillance footage is not lost.

“As smart cities, smart transportation, and other surveillance programs become more prevalent, the number of surveillance nodes has reached the hundreds of thousands. Due to the widespread use of high-definition monitoring, the amount of data required in security surveillance has dramatically increased. The efficient collection, analysis, and application of data is becoming ever more critical,” said Guo Xudong, deputy general manager of domestic sales & marketing, Hikvision.

“We are excited that Seagate will launch the industry’s first AI optimised surveillance drive which will enable us to efficiently manage data storage and processing challenges, including, but not limited to, our DeepinMind NVR series.”

Sai Varanasi

“Video analytics has been evolving over the past 10 years and is garnering a lot of attention these days due to the use of AI. Dahua Technology made an early start in AI applications and has since made several achievements in the industry, for example, the newly launched IVSS series,” said Yang Shengwei, products and solutions director, Domestic Sales Operation Centre […]

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Seagate launches first drive for artificial intelligence enabled surveillance

By News Aggregator

By Zenobia Hedge

Seagate Technology plc announced its SkyHawk™ AI hard disk drive (HDD), the first drive created specifically for artificial intelligence (AI) enabled video surveillance solutions. Building on Seagate’s 10-year track record of delivering surveillance optimised storage performance, SkyHawk AI provides unprecedented bandwidth and processing power to manage always-on, data-intensive workloads, while simultaneously analysing and recording footage from multiple HD cameras.

Analytics on video surveillance hardware is growing exponentially, forecasted to increase from 27.6 million shipments in 2016 to 126 million shipments in 2021 (Cropley, 2017), as hardware manufacturers continue to include analytics sensors on network video recorders (NVRs). This will only increase as AI – particularly deep learning and machine learning applications, such as facial recognition and analysing irregularities in behavior – become increasingly prevalent. In parallel, the need for fast video analytics will continue to rise, increasing the workload burden on NVR storage.

“The use of AI technology in surveillance is steadily increasing – both in the edge and backend installations such as retail fronts and large city traffic management. Seagate has led the surveillance storage market since its early days, a decade ago, by delivering industry leading HDD products that have enabled more than 5X increase in exabytes during this time period,” said Sai Varanasi, vice president product line management at Seagate Technology.

“We are excited to introduce smart, purpose-built SkyHawk AI solutions that expand the design space for our customers and partners, allowing them to implement next-generation deep learning and video analytics applications.”

SkyHawk AI is ideal for intensive computational workloads that typically accompany AI work streams, as its high throughput and enhanced caching deliver low latency and excellent random read performance to quickly locate and deliver video images and footage analysis. This enables on-the-edge decision making, eliminating the latency of exchanging cloud-based data and processing.

Equipped with Seagate ImagePerfect™ AI firmware, the drive reliably records high quality, sharp video footage with no dropped frames, while simultaneously facilitating AI-enabled NVR analytics – ensuring that intelligence gathered through video surveillance footage is not lost.

“As smart cities, smart transportation, and other surveillance programs become more prevalent, the number of surveillance nodes has reached the hundreds of thousands. Due to the widespread use of high-definition monitoring, the amount of data required in security surveillance has dramatically increased. The efficient collection, analysis, and application of data is becoming ever more critical,” said Guo Xudong, deputy general manager of domestic sales & marketing, Hikvision.

“We are excited that Seagate will launch the industry’s first AI optimised surveillance drive which will enable us to efficiently manage data storage and processing challenges, including, but not limited to, our DeepinMind NVR series.”

Sai Varanasi

“Video analytics has been evolving over the past 10 years and is garnering a lot of attention these days due to the use of AI. Dahua Technology made an early start in AI applications and has since made several achievements in the industry, for example, the newly launched IVSS series,” said Yang Shengwei, products and solutions director, Domestic Sales Operation Centre […]

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Digi International acquires TempAlert

By Zenobia Hedge

Digi International, a global provider of Internet of Things (IoT) products and services, announced that it has acquired TempAlert, a provider of automated, real-time temperature monitoring and task management solutions for the healthcare, industrial and food-service industries. TempAlert will join the Digi Smart Solutions team. Digi purchased Boston-based TempAlert for $45 million(€38.03 million) in cash plus future earn out incentives.

With its origins at the Massachusetts Institute of Technology, TempAlert is now in use at more than 20,000 customer sites including Walmart, CVS Health, SpaceX, Apple, Coca-Cola, McDonald‘s, and the U.S. Department of State.

With its fourth strategic acquisition in 24 months, Digi is a leader in the space with nearly 35,000 customer sites and a deep presence in the healthcare, transportation, industrial and foodservice markets. In aggregate, the Digi Smart Solutions team offers more than 25 years of condition-based monitoring experience gained through managing more than 6 billion sensor readings.

Digi Smart Solutions improves the integrity of product quality and safety while simultaneously lowering costs, achieving higher levels of customer satisfaction and improving brand reputation. Digi’s automated, real-time monitoring solutions combined with task management software also address the needs of customers with unique challenges that span operational and safety regulatory requirements.

Harry Schechter

The TempAlert solution will not only be supported and enhanced, but also leveraged within Digi’s existing products and services to expand its advanced portfolio of solutions. Digi is excited to welcome TempAlert CEO Harry Schechter and the TempAlert team as employees of Digi Smart Solutions. Schechter will play a leading role in the IoT strategy going forward. Schechter will report to COO Kevin Riley.

“The acquisition of TempAlert doubles our Smart Solutions team to over 100 professionals, allowing us to offer our customers unprecedented domain expertise and support,” said Ron Konezny, president and chief executive officer, Digi International. “This acquisition firmly establishes Digi as a leader in condition-based monitoring, such as temperature and vibration, task management solutions and analytics.”

“This is a perfect match of expertise and a shared vision of the market opportunity in front of us,” said Schechter. “The combination of Digi’s market presence and complementary technology in conjunction with the TempAlert customer base presents a fantastic opportunity for Digi Smart Solutions.”

Comment on this article below or via Twitter: @IoTNow_OR @jcIoTnow

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Digi International acquires TempAlert

By News Aggregator

By Zenobia Hedge

Digi International, a global provider of Internet of Things (IoT) products and services, announced that it has acquired TempAlert, a provider of automated, real-time temperature monitoring and task management solutions for the healthcare, industrial and food-service industries. TempAlert will join the Digi Smart Solutions team. Digi purchased Boston-based TempAlert for $45 million(€38.03 million) in cash plus future earn out incentives.

With its origins at the Massachusetts Institute of Technology, TempAlert is now in use at more than 20,000 customer sites including Walmart, CVS Health, SpaceX, Apple, Coca-Cola, McDonald‘s, and the U.S. Department of State.

With its fourth strategic acquisition in 24 months, Digi is a leader in the space with nearly 35,000 customer sites and a deep presence in the healthcare, transportation, industrial and foodservice markets. In aggregate, the Digi Smart Solutions team offers more than 25 years of condition-based monitoring experience gained through managing more than 6 billion sensor readings.

Digi Smart Solutions improves the integrity of product quality and safety while simultaneously lowering costs, achieving higher levels of customer satisfaction and improving brand reputation. Digi’s automated, real-time monitoring solutions combined with task management software also address the needs of customers with unique challenges that span operational and safety regulatory requirements.

Harry Schechter

The TempAlert solution will not only be supported and enhanced, but also leveraged within Digi’s existing products and services to expand its advanced portfolio of solutions. Digi is excited to welcome TempAlert CEO Harry Schechter and the TempAlert team as employees of Digi Smart Solutions. Schechter will play a leading role in the IoT strategy going forward. Schechter will report to COO Kevin Riley.

“The acquisition of TempAlert doubles our Smart Solutions team to over 100 professionals, allowing us to offer our customers unprecedented domain expertise and support,” said Ron Konezny, president and chief executive officer, Digi International. “This acquisition firmly establishes Digi as a leader in condition-based monitoring, such as temperature and vibration, task management solutions and analytics.”

“This is a perfect match of expertise and a shared vision of the market opportunity in front of us,” said Schechter. “The combination of Digi’s market presence and complementary technology in conjunction with the TempAlert customer base presents a fantastic opportunity for Digi Smart Solutions.”

Comment on this article below or via Twitter: @IoTNow_OR @jcIoTnow

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Teradata Climbs Up the Stack with ‘Analytics Platform’ Strategy

By Alex Woodie

Teradata is extending the types of data, algorithms, and frameworks it can store and run in its flagship MPP database as part of the new Teradata Analytics Platform unveiled at its annual user conference today. Shipping early next year, the new platform is being billed as the next iteration of the enterprise data warehouse, and a one-stop shop for all of its customers’ analytic needs.

For most of its history, Teradata has focused its efforts on building core underlying data storage and management functions into its massively parallel processing (MPP), column-oriented relational database. With that foundation in place, customers could then write their own analytic routines using SQL, run pre-generated SQL from business intelligence tools, or run packaged analytic applications from the likes of SAS and other vendors.

The company revealed a desire to go “up the stack” in 2011, when it spent $230 million to acquire Aster Data Systems. Aster had developed SQL- and MapReduce-based software that let customers analyze large amounts of semi-structured and unstructured data, such as Internet clickstreams and social media activity, for the purpose of generating product recommendations, detecting fraud, and reducing churn.

While Aster helped Teradata break into the burgeoning market for big data analytics, the Aster technology hasn’t been fully integrated with the company’s traditional EDW business. There were integration points, such as the QueryGrid functionality Teradata unveiled in 2014, and its foray into pushdown processing. But the two products largely lived separate lives.

That separation will be erased when Aster technology is fully ported to run within Teradata’s EDW. That’s part and parcel of the Teradata Analytics Platform plan, says Imad Birouty, Teradata’s director of product marketing.

The Teradata Analytics Platform is a superset of traditional EDW and emerging data science capabilities

“We’re actually moving Aster and Teradata together. This is step number one in…bringing those analytics over,” Birouty tells Datanami. “We’re taking those advanced analytic functions that were in Aster, and we’re porting them over to the Teradata database. So those will be embedded directly in the database.”

The plan calls for having the first batch of Aster functions — including path analysis, attribution, text analysis, sessionization, and time series analytics –available in version 16.20 of the Teradata database in the first half of 2018, Birouty says. A second batch of Aster functions, including graph functions and other capabilities, are slated for an update that ships in the second half of the year, he adds.

“[Aster] was multi genre. It did graph functions. It did machine learning. It did text analytics. It did a lot of things, and so we’re bringing all those over, little by little,” Birouty says. Eventually, all of Aster’s functions will be ported to run under the Teradata database, and Aster will cease to exist. “It’s going to take a couple of years to do that.”

About a year from now, the Teradata EDW will be updated to natively support other analytic frameworks, including things like Apache Spark, Tensorflow, Theano, and even Gluon, the new machine learning library recently unveiled by Microsoft and AWS. “We’re looking at a lot of the popular tools out there and whatever is the hottest thing, we’ll plug them in,” Birouty says.

These frameworks will be brought into Teradata by way of a “pluggable architecture” that the company is building into its Teradata Analytics Platform, according to Birouty. When it’s ready, the architecture will be transparent to the user and work entirely “under the covers,” he says. However, that system isn’t quite cooked. “We’re not there yet,” he adds.

Teradata is seeking to be just as open when it comes to languages like R and Python and tools like SAS, KNIME, RStudio, Jupyter, and Dataiku, the company says. The database warehouse already had support for JSON data types, and support for Avro and other data formats will be added.

Centralizing the data and the analytics in the Teradata EDW will bring several benefits to customers. For starters, it will minimize the time and expense of moving data over the network. It will also eliminate the need for the IT department to maintain additional systems.

Co-mingling different data sets and data types will also allow customers to experiment with new analytic techniques, Birouty says. “You can imagine you can do some pretty amazing things if you have all these analytics together,” he says. “You can analyze the data that’s in your warehouse and IoT data together.”

For example, a trucking company could use sensor data to track the movement of its trucks while also monitoring the content of the cargo or special business relationships. If the IoT data indicates a delivery to a particular customer is going to be late, while the EDW data shows that the cargo is sensitive or the customer relationship has a special attribute, the trucking outfit could take pains to expedite the delivery or alert the customer to the late delivery.

“This is pretty much unprecedented in the capabilities that it’s bringing together, all at the fingertips of the user,” Birouty says. “The users don’t have to worry about separate pools. All the analytic functions, the tools they have, the data types, are all supported within this Teradata Analytics Platform. You can operatize the insights and deploy them to all the users. Pretty powerful stuff.”

Rather than a dramatic course change, however, the unveiling of the Teradata Analytics Platform represents an extension of the company’s previous strategy, Birouty says. “We refer to the future of the data warehouse as the analytics platform,” he says. “So the Teradata Analytics Platform is a superset [of capabilities] — the next generation with more capabilities than just the data warehouse today.”

Teradata also announced IntelliSphere, a prepackaged set of tools often used in data science and data analysis work. “We put together a software package … that are all the products you need to put together your analytic ecosystem,” Birouty says. “All the software you need to ingest data, to mange it, to deploy apps within the environment, to access the data.”

The company made the announcements today at Partners, its annual user conference, which is taking place this week in Anaheim, California.

Related Items:

Teradata Makes Data Warehouse More Hadoop-ish

Teradata Puts Aster in Hadoop for IoT Analytics

Teradata Adds Graph Engine to the Data Discovery Mix with Aster 6

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Teradata Climbs Up the Stack with ‘Analytics Platform’ Strategy

By News Aggregator

By Alex Woodie

Teradata is extending the types of data, algorithms, and frameworks it can store and run in its flagship MPP database as part of the new Teradata Analytics Platform unveiled at its annual user conference today. Shipping early next year, the new platform is being billed as the next iteration of the enterprise data warehouse, and a one-stop shop for all of its customers’ analytic needs.

For most of its history, Teradata has focused its efforts on building core underlying data storage and management functions into its massively parallel processing (MPP), column-oriented relational database. With that foundation in place, customers could then write their own analytic routines using SQL, run pre-generated SQL from business intelligence tools, or run packaged analytic applications from the likes of SAS and other vendors.

The company revealed a desire to go “up the stack” in 2011, when it spent $230 million to acquire Aster Data Systems. Aster had developed SQL- and MapReduce-based software that let customers analyze large amounts of semi-structured and unstructured data, such as Internet clickstreams and social media activity, for the purpose of generating product recommendations, detecting fraud, and reducing churn.

While Aster helped Teradata break into the burgeoning market for big data analytics, the Aster technology hasn’t been fully integrated with the company’s traditional EDW business. There were integration points, such as the QueryGrid functionality Teradata unveiled in 2014, and its foray into pushdown processing. But the two products largely lived separate lives.

That separation will be erased when Aster technology is fully ported to run within Teradata’s EDW. That’s part and parcel of the Teradata Analytics Platform plan, says Imad Birouty, Teradata’s director of product marketing.

The Teradata Analytics Platform is a superset of traditional EDW and emerging data science capabilities

“We’re actually moving Aster and Teradata together. This is step number one in…bringing those analytics over,” Birouty tells Datanami. “We’re taking those advanced analytic functions that were in Aster, and we’re porting them over to the Teradata database. So those will be embedded directly in the database.”

The plan calls for having the first batch of Aster functions — including path analysis, attribution, text analysis, sessionization, and time series analytics –available in version 16.20 of the Teradata database in the first half of 2018, Birouty says. A second batch of Aster functions, including graph functions and other capabilities, are slated for an update that ships in the second half of the year, he adds.

“[Aster] was multi genre. It did graph functions. It did machine learning. It did text analytics. It did a lot of things, and so we’re bringing all those over, little by little,” Birouty says. Eventually, all of Aster’s functions will be ported to run under the Teradata database, and Aster will cease to exist. “It’s going to take a couple of years to do that.”

About a year from now, the Teradata EDW will be updated to natively support other analytic frameworks, including things like Apache Spark, Tensorflow, Theano, and even Gluon, the new machine learning library recently unveiled by Microsoft and AWS. “We’re looking at a lot of the popular tools out there and whatever is the hottest thing, we’ll plug them in,” Birouty says.

These frameworks will be brought into Teradata by way of a “pluggable architecture” that the company is building into its Teradata Analytics Platform, according to Birouty. When it’s ready, the architecture will be transparent to the user and work entirely “under the covers,” he says. However, that system isn’t quite cooked. “We’re not there yet,” he adds.

Teradata is seeking to be just as open when it comes to languages like R and Python and tools like SAS, KNIME, RStudio, Jupyter, and Dataiku, the company says. The database warehouse already had support for JSON data types, and support for Avro and other data formats will be added.

Centralizing the data and the analytics in the Teradata EDW will bring several benefits to customers. For starters, it will minimize the time and expense of moving data over the network. It will also eliminate the need for the IT department to maintain additional systems.

Co-mingling different data sets and data types will also allow customers to experiment with new analytic techniques, Birouty says. “You can imagine you can do some pretty amazing things if you have all these analytics together,” he says. “You can analyze the data that’s in your warehouse and IoT data together.”

For example, a trucking company could use sensor data to track the movement of its trucks while also monitoring the content of the cargo or special business relationships. If the IoT data indicates a delivery to a particular customer is going to be late, while the EDW data shows that the cargo is sensitive or the customer relationship has a special attribute, the trucking outfit could take pains to expedite the delivery or alert the customer to the late delivery.

“This is pretty much unprecedented in the capabilities that it’s bringing together, all at the fingertips of the user,” Birouty says. “The users don’t have to worry about separate pools. All the analytic functions, the tools they have, the data types, are all supported within this Teradata Analytics Platform. You can operatize the insights and deploy them to all the users. Pretty powerful stuff.”

Rather than a dramatic course change, however, the unveiling of the Teradata Analytics Platform represents an extension of the company’s previous strategy, Birouty says. “We refer to the future of the data warehouse as the analytics platform,” he says. “So the Teradata Analytics Platform is a superset [of capabilities] — the next generation with more capabilities than just the data warehouse today.”

Teradata also announced IntelliSphere, a prepackaged set of tools often used in data science and data analysis work. “We put together a software package … that are all the products you need to put together your analytic ecosystem,” Birouty says. “All the software you need to ingest data, to mange it, to deploy apps within the environment, to access the data.”

The company made the announcements today at Partners, its annual user conference, which is taking place this week in Anaheim, California.

Related Items:

Teradata Makes Data Warehouse More Hadoop-ish

Teradata Puts Aster in Hadoop for IoT Analytics

Teradata Adds Graph Engine to the Data Discovery Mix with Aster 6

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