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Digi International acquires TempAlert

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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.”

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Teradata Climbs Up the Stack with ‘Analytics Platform’ Strategy

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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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Push Technology releases Diffusion 6.0

By Sheetal Kumbhar

Push Technology, the real-time delta data streaming and messaging provider, announced the release of Diffusion™ 6.0 – Push Technology’s patented, bi-directional, delta-data streaming and messaging platform which is available on-premise, in-the-cloud, or in hybrid configurations.

Speed, resiliency, and ease of scalability are the fundamental requirements for Mobile and IoT application development. Challenges created by unreliable and congested networks stand in the way of meeting these requirements. Diffusion 6.0 is an out-of-the-box, Enterprise-grade, solution that easily integrates with new and existing application architectures – providing a flexible, reactive, and efficient data layer to solve the challenge of business application data management.

Sean Bowen, CEO of Push Technology, explains: “With our latest release we are delivering an Enterprise-grade, data streaming and messaging solution which is simple to deploy and provides customers with the flexibility to start small and add functionality as their requirements expand. Developers no longer need to spend time building real-time data management for their applications because everything they need is available in Diffusion 6.0.

We have also focused on enhancing and automating the scalability of Diffusion to fuel application growth. Many organisations attempt to address scalability using traditional techniques and solutions which weren’t purpose-built for mobile and IoT applications. These technologies can be cumbersome to integrate and do not reliably scale. We offer a single solution that does it all.”

The new Diffusion release includes two add-on modules plus enhanced features to further offload development team tasks with out-of-the-box functionality.

Sean Bowen

The Scale & Availability Pack and the Auto-Scale Pack are designed to allow application developers to select enhanced Diffusion functionality specific to their application use case(s) requirements, as they scale and grow. The Scale & Availability Pack offers functionality including clustering, fan-out, and persistence – focused on addressing the challenges of resilience, application Service Level Agreements (SLAs), and bandwidth constraints.

The Auto-Scale Pack integrates Kubernetes and Prometheus to facilitate fast, simple, application deployment which enables Diffusion applications to be conveniently “containerised,” and easily managed, monitored and scaled.

Diffusion’s new out-of-the-box functionality also simplifies and speeds the development process with:

Time series data. Time series are ordered series of events. Effective management of time series data is useful for tracking account history, managing inventory or logistics, and for collaborative applications, e.g. chat.
Persistence. Data persistence preserves the state of data when a server is closed and then restarted. It is particularly useful for maintenance, update, or an unplanned outage. Persistence eliminates the need for the server to reload the data model when it starts.
Typed request-response messaging. Diffusion now allows applications to send request messages or data to a client, a set of clients, or a message path and the recipient of the information can respond directly to the request. Diffusion takes care of data conversion, allowing applications to pass instances of the data type directly to and from the API. Importantly, this allows customers to co-ordinate messages sent with messages received enabling proper transactional interactions.
Support of new data types. Diffusion now supports int64, string, and double. This new support enables developers to efficiently build applications without the […]

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Push Technology releases Diffusion 6.0

By News Aggregator

By Sheetal Kumbhar

Push Technology, the real-time delta data streaming and messaging provider, announced the release of Diffusion™ 6.0 – Push Technology’s patented, bi-directional, delta-data streaming and messaging platform which is available on-premise, in-the-cloud, or in hybrid configurations.

Speed, resiliency, and ease of scalability are the fundamental requirements for Mobile and IoT application development. Challenges created by unreliable and congested networks stand in the way of meeting these requirements. Diffusion 6.0 is an out-of-the-box, Enterprise-grade, solution that easily integrates with new and existing application architectures – providing a flexible, reactive, and efficient data layer to solve the challenge of business application data management.

Sean Bowen, CEO of Push Technology, explains: “With our latest release we are delivering an Enterprise-grade, data streaming and messaging solution which is simple to deploy and provides customers with the flexibility to start small and add functionality as their requirements expand. Developers no longer need to spend time building real-time data management for their applications because everything they need is available in Diffusion 6.0.

We have also focused on enhancing and automating the scalability of Diffusion to fuel application growth. Many organisations attempt to address scalability using traditional techniques and solutions which weren’t purpose-built for mobile and IoT applications. These technologies can be cumbersome to integrate and do not reliably scale. We offer a single solution that does it all.”

The new Diffusion release includes two add-on modules plus enhanced features to further offload development team tasks with out-of-the-box functionality.

Sean Bowen

The Scale & Availability Pack and the Auto-Scale Pack are designed to allow application developers to select enhanced Diffusion functionality specific to their application use case(s) requirements, as they scale and grow. The Scale & Availability Pack offers functionality including clustering, fan-out, and persistence – focused on addressing the challenges of resilience, application Service Level Agreements (SLAs), and bandwidth constraints.

The Auto-Scale Pack integrates Kubernetes and Prometheus to facilitate fast, simple, application deployment which enables Diffusion applications to be conveniently “containerised,” and easily managed, monitored and scaled.

Diffusion’s new out-of-the-box functionality also simplifies and speeds the development process with:

Time series data. Time series are ordered series of events. Effective management of time series data is useful for tracking account history, managing inventory or logistics, and for collaborative applications, e.g. chat.
Persistence. Data persistence preserves the state of data when a server is closed and then restarted. It is particularly useful for maintenance, update, or an unplanned outage. Persistence eliminates the need for the server to reload the data model when it starts.
Typed request-response messaging. Diffusion now allows applications to send request messages or data to a client, a set of clients, or a message path and the recipient of the information can respond directly to the request. Diffusion takes care of data conversion, allowing applications to pass instances of the data type directly to and from the API. Importantly, this allows customers to co-ordinate messages sent with messages received enabling proper transactional interactions.
Support of new data types. Diffusion now supports int64, string, and double. This new support enables developers to efficiently build applications without the […]

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Global smart home market worth US$6bn by end of 2017 and rising fast, says Futuresource Consulting

By Sheetal Kumbhar

Smart home devices are shaking off their novelty image and moving mainstream to become one of the fastest growing consumer electronics categories of 2017. That’s according to a new smart home report from Futuresource Consulting, which reveals that the devices will achieve a retail value of $6 billion (€5.11 billion) worldwide this year, with revenues expected to triple by 2021.

“The smart home has arrived and its impact is indisputable,” says Filipe Oliveira, a market analyst at Futuresource Consulting. “Smart home devices help with daily tasks, improve security and generate savings in energy bills through heating and lighting control. With high profile brands like Samsung, Apple and Philips getting in on the action, consumers are becoming attuned to the benefits, excited by the possibilities and are beginning to flex their purchasing muscle.”

Alexa and the Google Assistant, embedded in a range of devices, are making inroads into smart home control, with Apple’s Siri and Microsoft’s Cortana currently lagging behind in the smart home. However, the success of smart speakers and the intuitive nature of voice is not toppling the ever-present nature of smartphones, which are still the go-to interface for controlling smart home devices.

“Consumers carry their smartphones everywhere they go, even when moving from room to room around the home,” says Oliveira. “Smartphones currently have the edge on smart speakers, because these devices allow face recognition and gesture commands to play a role alongside voice commands. Voice may not be needed at all in many smart home situations; when the user is away from a microphone, when there is background noise or when multiple people are talking in the same room, for example.”

Watch this space for combined voice and sensor control embedded into your smart refrigerator, wall art, mirrors, set-top boxes and TVs, any of which could become the means by which users give commands to their smart home.

There are currently four main smart home categories, namely hubs and control devices, security and monitoring, climate control and lighting systems.

“Security and monitoring products are leading the smart home charge. With the highest penetration rates and the largest value and volume at retail, this category is one of the main drivers of growth,” says Oliveira.

“In terms of market development, we’re seeing a surge in lighting, which is picking up speed faster than all other categories in retail and through the custom installer channel. Although we expect a general decline in unit prices, the lighting category will reinvent itself, with the emergence of products that combine lighting with other functions such as speakers and cameras, adding both value and appeal to the category.”

An increasing consumer appetite for all things smart home is giving rise to a range of other smart home devices beyond the four main categories. This includes an assortment of devices from smart mirrors to smart fragrance diffusers, but also basic smart home items such as connected sockets.

At present, North America represents over 60% of global smart home shipments and will continue to take the lion’s share out to 2021 and beyond. In […]

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Global smart home market worth US$6bn by end of 2017 and rising fast, says Futuresource Consulting

By News Aggregator

By Sheetal Kumbhar

Smart home devices are shaking off their novelty image and moving mainstream to become one of the fastest growing consumer electronics categories of 2017. That’s according to a new smart home report from Futuresource Consulting, which reveals that the devices will achieve a retail value of $6 billion (€5.11 billion) worldwide this year, with revenues expected to triple by 2021.

“The smart home has arrived and its impact is indisputable,” says Filipe Oliveira, a market analyst at Futuresource Consulting. “Smart home devices help with daily tasks, improve security and generate savings in energy bills through heating and lighting control. With high profile brands like Samsung, Apple and Philips getting in on the action, consumers are becoming attuned to the benefits, excited by the possibilities and are beginning to flex their purchasing muscle.”

Alexa and the Google Assistant, embedded in a range of devices, are making inroads into smart home control, with Apple’s Siri and Microsoft’s Cortana currently lagging behind in the smart home. However, the success of smart speakers and the intuitive nature of voice is not toppling the ever-present nature of smartphones, which are still the go-to interface for controlling smart home devices.

“Consumers carry their smartphones everywhere they go, even when moving from room to room around the home,” says Oliveira. “Smartphones currently have the edge on smart speakers, because these devices allow face recognition and gesture commands to play a role alongside voice commands. Voice may not be needed at all in many smart home situations; when the user is away from a microphone, when there is background noise or when multiple people are talking in the same room, for example.”

Watch this space for combined voice and sensor control embedded into your smart refrigerator, wall art, mirrors, set-top boxes and TVs, any of which could become the means by which users give commands to their smart home.

There are currently four main smart home categories, namely hubs and control devices, security and monitoring, climate control and lighting systems.

“Security and monitoring products are leading the smart home charge. With the highest penetration rates and the largest value and volume at retail, this category is one of the main drivers of growth,” says Oliveira.

“In terms of market development, we’re seeing a surge in lighting, which is picking up speed faster than all other categories in retail and through the custom installer channel. Although we expect a general decline in unit prices, the lighting category will reinvent itself, with the emergence of products that combine lighting with other functions such as speakers and cameras, adding both value and appeal to the category.”

An increasing consumer appetite for all things smart home is giving rise to a range of other smart home devices beyond the four main categories. This includes an assortment of devices from smart mirrors to smart fragrance diffusers, but also basic smart home items such as connected sockets.

At present, North America represents over 60% of global smart home shipments and will continue to take the lion’s share out to 2021 and beyond. In […]

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Daimler has new electric trucks and a buyer for them: The United Parcel Service

By Megan Geuss

Daimler

On Thursday, Daimler announced that it would bring its line of short-haul electric trucks to the US. The United Parcel Service (UPS) will buy the first three trucks, and Daimler is also offering eight trucks to New York City-based non-profits, including the Wildlife Conservation Society, the New York Botanical Garden, Habitat for Humanity New York City, and Big Reuse Brooklyn.

The company highlighted that the trucks had reduced noise and emissions, which made them well-suited to making trips in urban areas.

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Daimler has new electric trucks and a buyer for them: The United Parcel Service

By News Aggregator

By Megan Geuss

Daimler

On Thursday, Daimler announced that it would bring its line of short-haul electric trucks to the US. The United Parcel Service (UPS) will buy the first three trucks, and Daimler is also offering eight trucks to New York City-based non-profits, including the Wildlife Conservation Society, the New York Botanical Garden, Habitat for Humanity New York City, and Big Reuse Brooklyn.

The company highlighted that the trucks had reduced noise and emissions, which made them well-suited to making trips in urban areas.

Read 6 remaining paragraphs | Comments

Read more here:: feeds.arstechnica.com/arstechnica/index?format=xml

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PFP Cybersecurity: IOT Security via Power Analysis and AI

By IoT – Internet of Things

PFP Cybersecurity, a leader in embedded cybersecurity for IoT devices, will present “IoT Security – Power Analysis and AI” at the ST Developers Conference in Santa Clara, California, September 6, 2017. PFP’s CEO Steven Chen joins other cyber security thought leaders to present an interesting and unique approach to today’s problems at 11:45 am – […]

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PFP Cybersecurity: IOT Security via Power Analysis and AI

By News Aggregator

By IoT – Internet of Things

PFP Cybersecurity, a leader in embedded cybersecurity for IoT devices, will present “IoT Security – Power Analysis and AI” at the ST Developers Conference in Santa Clara, California, September 6, 2017. PFP’s CEO Steven Chen joins other cyber security thought leaders to present an interesting and unique approach to today’s problems at 11:45 am – […]

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