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For ERP LN feature pack upgrade, what method of install are you using?
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Here's how Google is preparing Android for the AI-laden future

CIO.com - News - May 18, 2017 - 1:26am

The future of Android will be a lot smarter, thanks to new programming tools that Google unveiled on Wednesday. The company announced TensorFlow Lite, a version of its machine learning framework that’s designed to run on smartphones and other mobile devices, during the keynote address at its Google I/O developer conference.

“TensorFlow Lite will leverage a new neural network API to tap into silicon-specific accelerators, and over time we expect to see [digital signal processing chips] specifically designed for neural network inference and training,” said Dave Burke, Google's vice president of engineering for Android. “We think these new capabilities will help power a next generation of on-device speech processing, visual search, augmented reality, and more.”

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Categories: Opinion

Google adds smart reply to Gmail for iOS, Android

CIO.com - News - May 17, 2017 - 6:45pm

Google is making it easier for people to dash off a quick email reply from Gmail on their smartphones. The Smart Reply feature, which offers a handful of contextually-aware, computer-generated responses, is coming to Google’s flagship email app for iOS and Android, the company announced at its I/O developer conference Wednesday.

The feature provides users with three machine-generated responses, based on the content of whatever message the user is replying to. It’s built using machine learning, and is designed for use with smartphones, so that people on the go can dash off a reply to their correspondence partners without much effort.

Smart Reply began its life as part of Inbox, Google’s alternate email client for smartphones. Right now, 12 percent of all email replies sent through that app are Smart Replies.

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Categories: Opinion

Google adds smart reply to Gmail for iOS, Android

CIO.com - News - May 17, 2017 - 6:45pm

Google is making it easier for people to dash off a quick email reply from Gmail on their smartphones. The Smart Reply feature, which offers a handful of contextually-aware, computer-generated responses, is coming to Google’s flagship email app for iOS and Android, the company announced at its I/O developer conference Wednesday.

The feature provides users with three machine-generated responses, based on the content of whatever message the user is replying to. It’s built using machine learning, and is designed for use with smartphones, so that people on the go can dash off a reply to their correspondence partners without much effort.

Smart Reply began its life as part of Inbox, Google’s alternate email client for smartphones. Right now, 12 percent of all email replies sent through that app are Smart Replies.

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Categories: Opinion

Google's new TPUs are here to accelerate AI training

CIO.com - News - May 17, 2017 - 6:09pm

Google has made another leap forward in the realm of machine learning hardware. The tech giant has begun deploying the second version of its Tensor Processing Unit, a specialized chip meant to accelerate machine learning applications, company CEO Sundar Pichai announced on Wednesday.

The new Cloud TPU sports several improvements over its predecessor. Most notably, it supports training machine learning algorithms in addition to processing the results from existing models. Each chip can provide 180 teraflops of processing for those tasks. Google is also able to network the chips together in sets of what are called TPU Pods that allow even greater computational gains.

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Categories: Opinion

Google's new TPUs are here to accelerate AI training

CIO.com - News - May 17, 2017 - 6:09pm

Google has made another leap forward in the realm of machine learning hardware. The tech giant has begun deploying the second version of its Tensor Processing Unit, a specialized chip meant to accelerate machine learning applications, company CEO Sundar Pichai announced on Wednesday.

The new Cloud TPU sports several improvements over its predecessor. Most notably, it supports training machine learning algorithms in addition to processing the results from existing models. Each chip can provide 180 teraflops of processing for those tasks. Google is also able to network the chips together in sets of what are called TPU Pods that allow even greater computational gains.

To read this article in full or to leave a comment, please click here

Categories: Opinion

IDG Contributor Network: 3 things you can learn about online marketing from tourism hot spots

CIO.com - Opinion - May 17, 2017 - 5:00pm

When you do traditional marketing work, it’s easy to hit a wall. We’re constantly inundated by media, resulting in Fear Of Missing Out (FOMO) and, ultimately, in content burnout.

Part of the problem, though, might not just be the volume of content we’re exposed to in this field, but the narrow scope of it. Siloed into traditional corporate concerns regarding finance, technology or other core industry topics, it can feel like all the angles have been covered. What’s left to say?

In order to break out of your marketing rut, consider turning to another industry for a new take on what promotional work can look like. For example, tourism hot spots around the globe are constantly working to break the mold — and they’ve got more than a few tricks to share with those in technology, analytics and digital security.

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Categories: Opinion

Why companies struggle to cultivate digital strategies

CIO.com - IT industry - May 17, 2017 - 4:54pm

Companies cultivating digital strategies are struggling to facilitate transformations because most CIOs are simply not equipped to be digital leaders. While enterprise CIOs can create functional technology systems, many lack the visionary skills required to be a change agent in the digital age, according to Shawn Banerji, managing partner of the technology, digital and data leaders practice at Caldwell Partners.

Caldwell Partners

Shawn Banerji, Caldwell Partners

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SAP seeks to speed analytics with AI technology

CIO.com - News - May 17, 2017 - 3:39pm

SAP wants to speed up how analytics adapt to change. It's doing that by embedding SAP Predictive Analytics' machine learning capabilities in S/4Hana.

"When you take something rules-based, you are not able to adapt predictions to new data," said Mike Flannagan, SAP's senior vice president for analytics, ahead of the company's Sapphire Now customer conference in Orlando.

"The power of machine learning is you are able to continually update the model. Your model is running against all the data it has seen so far."

But there's another stumbling block to that: the computing power required for machine learning systems. "Most business apps aren't robust enough to handle the machine learning computation," said Flannagan. S4/Hana, on the other hand, is fast enough to embed machine-learning prediction in a core ERP system, something that was previously only possible with rules-based prediction, he said.

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Categories: Opinion

SAP seeks to speed analytics with AI technology

CIO.com - News - May 17, 2017 - 3:39pm

SAP wants to speed up how analytics adapt to change. It's doing that by embedding SAP Predictive Analytics' machine learning capabilities in S/4Hana.

"When you take something rules-based, you are not able to adapt predictions to new data," said Mike Flannagan, SAP's senior vice president for analytics, ahead of the company's Sapphire Now customer conference in Orlando.

"The power of machine learning is you are able to continually update the model. Your model is running against all the data it has seen so far."

But there's another stumbling block to that: the computing power required for machine learning systems. "Most business apps aren't robust enough to handle the machine learning computation," said Flannagan. S4/Hana, on the other hand, is fast enough to embed machine-learning prediction in a core ERP system, something that was previously only possible with rules-based prediction, he said.

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Categories: Opinion

IDG Contributor Network: How a 22-year-old accidentally flipped the WannaCry kill switch

CIO.com - Opinion - May 17, 2017 - 3:14pm

Last Friday, a huge cyber-attack infiltrated and crippled the computer systems of hospitals, schools, companies and government organizations, until a 22-year-old accidently shut it down. The malicious software shut down a reported 100,000 computers since its release early that morning. As the ransomware spread throughout networks and systems, reportedly through a known Microsoft vulnerability, people were treated to pop-ups stating that their information was encrypted unless a payment was made to release the key.

Almost 100 countries in Europe and Asia were hit by this worm-like malware, until UK cyber-security researcher, Marcus Hutchins, began investigating the spread and unknowingly flipped a hidden kill-switch, seemingly stopping it in its tracks. The 22-year-old, known by his online pseudonym, MalwareTech, noticed as soon as the software installed itself onto the machine, it sent a message to an unregistered web address.

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Categories: Opinion

IBM makes leap in quantum computing power

CIO.com - News - May 17, 2017 - 12:28pm

IBM has some new options for businesses wanting to experiment with quantum computing.

Quantum computers, when they become commercially available, are expected to vastly outperform conventional computers in a number of domains, including machine learning, cryptography and the optimization of business problems in the fields of logistics and risk analysis.

Where conventional computers deal in ones and zeros (bits) the processors in quantum computers use qubits, which can simultaneously hold the values one and zero. This -- to grossly oversimplify -- allows a quantum computer with a 5-qubit processor to perform a calculation for 32 different input values at the same time.

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Categories: Opinion

IBM makes leap in quantum computing power

CIO.com - News - May 17, 2017 - 12:28pm

IBM has some new options for businesses wanting to experiment with quantum computing.

Quantum computers, when they become commercially available, are expected to vastly outperform conventional computers in a number of domains, including machine learning, cryptography and the optimization of business problems in the fields of logistics and risk analysis.

Where conventional computers deal in ones and zeros (bits) the processors in quantum computers use qubits, which can simultaneously hold the values one and zero. This -- to grossly oversimplify -- allows a quantum computer with a 5-qubit processor to perform a calculation for 32 different input values at the same time.

To read this article in full or to leave a comment, please click here

Categories: Opinion

CIO Career Coach: Bringing a product management mindset to IT

CIO.com - Opinion - May 17, 2017 - 12:00pm

Welcome back to CIO Career Coach, a video series I created with CIO.com and IDG.tv. This season, we’re discussing the skills that top CIOs are developing to be successful in the new era of IT. 

Last week we talked all about changing the culture in IT, or how to turn your team of order takers into order shapers. Today’s topic is "Bringing a Product Management Mindset to IT." 

For the last 30 years, IT’s role has been to support or enable a company’s business strategy. As such, companies used software to automate processes, like payroll, finance, or procurement. 

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Categories: Opinion

Fitbit ranks the fittest countries and U.S. cities

CIO.com - Opinion - May 16, 2017 - 10:26pm

I’ll admit it: I was surprised by how the U.S. (and California, where I live) fared in terms of fitness, based on newly released aggregated and anonymous Fitbit user data. And it’s interesting to compare Fitbit’s findings to other recent data on how we’re doing, as a country and as individual metro areas, regarding fitness.

Fitbit’s data comes from more than 20 million users in 65 countries. In ranking countries and U.S. cities in terms of fitness, data collected from Fitbit devices includes average daily steps, active minutes, Reminders to Move goals met, resting heart rate and sleep duration.

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Categories: Opinion

IOTA launches $2 million fund for IoT-focused blockchain derivative

CIO.com - IT industry - May 16, 2017 - 10:02pm

Open source non-profit IOTA this week launched a $2 million fund intended to foster growth of its distributed ledger technology, a derivative of blockchain technology aimed at the internet of things.

Dubbed the IOTA Ecosystem Fund, the idea is to incentivize expanding and shaping the IOTA ecosystem through use cases, libraries, tools and hackathons.

[ Your guide to top tech conferences 2017 ]

"Every great open source project has a great ecosystem surrounding it, in many ways it is the defining characteristic that separates a mediocre project from a great one," David Sonstebo, founder at IOTA, said in a statement Monday. "A thriving ecosystem is a prerequisite for long-term success. The IOTA Ecosystem Fund is backed by over $2 million to open up a world of possibilities for developers and researchers to take the IOTA ecosystem even further."

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SAP wants to help enterprises learn from their smart devices

CIO.com - News - May 16, 2017 - 7:16pm

SAP has added machine learning to its Leonardo IoT software suite to help businesses handle data gathered from smart devices more intelligently.

It unveiled the additions to Leonardo  -- and a cloud of other news -- at its customer conference, Sapphire Now, in Orlando on Tuesday.

Leonardo runs on SAP Cloud Platform and provides a number of services to process data from the internet of things, including streaming and predictive analytics. Now, those predictive capabilities will include machine-learning tools tuned to work with the rest of the Leonardo components.

"It's about adding intelligence to existing business processes and integrating with the core systems of record. Leonardo's capabilities can be infused into SAP applications," said Mike Flannagan, SAP's senior vice president for analytics. "We see Leonardo as something that will help customers transform processes."

To read this article in full or to leave a comment, please click here

Categories: Opinion

SAP wants to help enterprises learn from their smart devices

CIO.com - News - May 16, 2017 - 7:16pm

SAP has added machine learning to its Leonardo IoT software suite to help businesses handle data gathered from smart devices more intelligently.

It unveiled the additions to Leonardo  -- and a cloud of other news -- at its customer conference, Sapphire Now, in Orlando on Tuesday.

Leonardo runs on SAP Cloud Platform and provides a number of services to process data from the internet of things, including streaming and predictive analytics. Now, those predictive capabilities will include machine-learning tools tuned to work with the rest of the Leonardo components.

"It's about adding intelligence to existing business processes and integrating with the core systems of record. Leonardo's capabilities can be infused into SAP applications," said Mike Flannagan, SAP's senior vice president for analytics. "We see Leonardo as something that will help customers transform processes."

To read this article in full or to leave a comment, please click here

Categories: Opinion

IDG Contributor Network: How Microsoft is becoming a Linux vendor

CIO.com - Opinion - May 16, 2017 - 6:26pm

Linux and open source technologies have become too dominant in data centers, cloud and IoT for Microsoft to ignore them.

On Microsoft’s own cloud, one in three machines run Linux. These are Microsoft customers who are running Linux. Microsoft needs to support the platform they use, or they will go somewhere else. 

Here's how Microsoft's Linux strategy breaks down on its developer platform (Windows 10), on its cloud (Azure) and datacenter (Windows Server).

Linux in Windows: IT professionals managing Linux machines on public or private cloud need native UNIX tooling. Linux and macOS are the only two platforms that offer such native capabilities. No wonder all you see is MacBooks or a few Linux desktops at events like DockerCon, OpenStack Summit or CoreOS Fest.

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Categories: Opinion

Google's the latest to take on IoT management headaches

CIO.com - News - May 16, 2017 - 5:05pm

Google wants to take on what may become one of the biggest cloud-computing needs of the next few years with a service that will manage IoT devices and help developers bring the data they generate into applications that use Google's analytics platforms.

Its Google Cloud IoT Core, announced in a blog post on Tuesday, may be a good use of Google's reach, number-crunching power and device OS expertise. But the problem it aims to solve is daunting, and competitors are already focused on it.

The good news for enterprises is that there are several solutions to IoT sprawl already available or taking shape. Just last week, VMware introduced Pulse IoT Center, the latest broad-based platform for setting up, managing and scaling IoT infrastructure. Cloud rival Microsoft has Azure IoT Hub, with a similar mission. Cisco Systems, General Electric and Nokia are also in the game.

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Categories: Opinion

Google's the latest to take on IoT management headaches

CIO.com - News - May 16, 2017 - 5:05pm

Google wants to take on what may become one of the biggest cloud-computing needs of the next few years with a service that will manage IoT devices and help developers bring the data they generate into applications that use Google's analytics platforms.

Its Google Cloud IoT Core, announced in a blog post on Tuesday, may be a good use of Google's reach, number-crunching power and device OS expertise. But the problem it aims to solve is daunting, and competitors are already focused on it.

The good news for enterprises is that there are several solutions to IoT sprawl already available or taking shape. Just last week, VMware introduced Pulse IoT Center, the latest broad-based platform for setting up, managing and scaling IoT infrastructure. Cloud rival Microsoft has Azure IoT Hub, with a similar mission. Cisco Systems, General Electric and Nokia are also in the game.

To read this article in full or to leave a comment, please click here

Categories: Opinion

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