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15 More Tech Trends to Expect In 2017

15 More Tech Trends to Expect In 2017 15 More Tech Trends to Expect In 2017

From artificial intelligence, to augmented reality, to cognitive computing, the New Year will be one of rapid and dramatic change, say these technology experts. Here are their predictions for trends to expect.

IoT Will Be Tied to Master Data and Artificial Intelligence IoT Will Be Tied to Master Data and Artificial Intelligence

"Next year, organizations will stop putting IoT data on a pedestal, or, if you like, in a silo. IoT data needs to be correlated with other data streams, tied to historical or master data or run through artificial intelligence algorithms in order to provide business-driving value. Despite the heralded arrival of shiny new tools that can handle IoT’s massive, moving workloads, organizations will realize they need to integrate these new data streams into their existing data management and governance disciplines to gain operational leverage and ensure application trust."

- Girish Pancha, CEO and founder, StreamSets

Battle for Low Power, Wide Area  Networking Will Be Fought Battle for Low Power, Wide Area Networking Will Be Fought

“A research study from Business Insider estimates that 700 million IoT devices will be connected over LPWAN standards by 2021. Why? Because LPWANs will help IoT take off. 2016 was a year of big hype and little progress. There’s a clear barrier of cost and power consumption when it comes to IoT products and if we can get these two pain points down, IoT will explode. LPWANs connect devices over a larger geographic area and use less power and those companies who can leverage these assets the best, will win out. “

- Zacj Supalla, chief executive officer, Particle

There Will Be More Augmented Reality-Based Products There Will Be More Augmented Reality-Based Products

“Waze and PokemonGo are just the start. Imagine leaving breadcrumbs across your life journey. For example, You leave a breadcrumb at the grocery store so next time you buy some taco shells. You walk into the store two days later, and an alarm goes off telling you to buy taco mix. Expect augmented reminders; augmented notation; and augmented journey maps.

- John Thurma, Director, Teradata

Container Adoption Will Go Mainstream Container Adoption Will Go Mainstream

“Containers will achieve mainstream enterprise adoption, with solutions like Kubernetes and Apache Mesos finally gaining traction in enterprise deployments.”

- Varun Mehta, vice president of product operations at Nimble Storage

IoT Will Become Part of Cognitive Computing IoT Will Become Part of Cognitive Computing

“Cognitive Computing will envelop data from a broad range of IOT (Internet of Things) devices – everything from wearables and smart-home devices to ICU sensors. By combining IOT data with other data sources and applying machine learning – ‘intelligent data’ can be generated, which can be fed into predictive analysis to produce cognitive analytic data.”

- Jans Aasman, chief executive officer, Franz Inc.

Adoption of the Distributed Warehouse Adoption of the Distributed Warehouse

“Instead of having a technician go-back-and-forth between job sites, facilities management teams will instead have runners go from staging area to the field with the needed supplies. By limiting the trips between the office, the warehouse, the job site and other stops along the way, technicians will now have more time to handle tasks ultimately saving money.”

Tim McLean, associate vice president, strategic accounts, Accruent

Security of IoT Devices Improves Security of IoT Devices Improves

“IoT security becomes viable as improvements with device identification and network protection matures.”

- Dave Dufour, senior director of security, Webroot

Machine Learning Impacts the CRM Space Machine Learning Impacts the CRM Space

“We are in the midst of a technology revolution where predictive analytics is becoming an absolute requirement for applications to stay competitive. As such, we’ll continue to see customer relationship management systems become more predictive in nature through the use of machine learning. It will no longer be enough to say that you have a CRM system, but rather, how can that system can make businesses more efficient by helping users decide the next best course of action.”

- Doug Rybacki, vice president of product management at Conga

Bimodal Will Fade Into the Archives of IT History Bimodal Will Fade Into the Archives of IT History

“The original concept of bimodal IT was to have a practice managing two separate, coherent modes of IT delivery, one focused on stability and the other on agility. The bimodal concept suggests that these separate practices are silo’d, two distinct categories for management and control. This concept can be considered an anti-pattern for DevOps as the DevOps culture is aimed at removing silos and encouraging collaboration and shared responsibilities.”

- Mark Levy, director of strategy, Micro Focus

Scanned Documents Become Intelligent Scanned Documents Become Intelligent

“As the workplace continues to evolve due to business technology innovations, changing regulatory and compliance requirements, and team dynamics, enterprises will be pressed for scanned documents to become more intelligent. In the coming year, IT security managers and information professionals will push for new capabilities that maximize knowledge sharing and collaboration while also employing security practices that keep pace with changing workflows.”

- Bill DeStefanis, director of product strategy, Nuance Communications

Rogue Nation States Finance Themselves By Stealing Money Rogue Nation States Finance Themselves By Stealing Money

“There is a dangerous possibility that rogue nation states could align with organized crime for their personal gain, such as what we saw in the SWIFT attacks. This could result in down time for countries’ political, military or financial systems.”

- Brian Kenyon, chief strategy officer, Symantec

Organizations Ask Better Questions of Big Data Organizations Ask Better Questions of Big Data

“Many companies have ideas and initiatives around big data, but not a solid understanding of how it, along with the subsequent insights, will help them better the business or develop new solutions. Technology suddenly gave organizations the ability to process large amounts of data at a high frequency. That together with the move to mobile (as every consumer has one or more devices that they are constantly online with) drives a lot of data – whether through social networks, search engines or more. You have the information but it needs to be taken one step further – you need to analyze it. The question for big data is ‘what can I learn from it? Where can I make meaningful insights?’

- Werner Hopf, CEO and archiving principal, Dolphin Enterprise Solutions Corporation

Leveraging “Smart Apps” in Hybrid Cloud Deployments Leveraging “Smart Apps” in Hybrid Cloud Deployments

“Enterprises will increasingly adopt smart applications in Hybrid Cloud Deployments (such as the HANA Cloud Platform) to drive innovation. Smart apps hosted in the cloud help companies control costs and reduce risks associated with everything from accounts payable to data analytics. They provide a modern user experience, are easy to deploy and are highly scalable. Lastly, these applications provide flexible, secure authentication options, a chief concern for the enterprise.”

- Vishal Awasthi, chief technology officer, Dolphin Enterprise Solutions Corporation

Cloud Computing Recognized For Its Potential Savings Cloud Computing Recognized For Its Potential Savings

“Enterprise will realize that there are immediate savings to be gained by moving some instances to cloud. During 2017, 10 to 20 percent of their workloads will be migrated to recognize these savings.”

- Aaron Rallo, chief executive officer, TSO Logic

Moore’s Law Holds True For Databases Moore’s Law Holds True For Databases

“Per Moore’s law, on-demand massively parallel processing databases like Google BigQuery and Snowflake will see a huge uptick in popularity. On-demand databases charge pennies for storage, allowing companies to store data without worrying about cost. When users want to run queries or pull data, it spins up the hardware it needs and gets the job done in seconds. They’re fast, scalable, and we expect to see a lot of companies using them in 2017.”

- Lloyd Tabb, founder, chairman and chief technology officer at Looker

From artificial intelligence, to augmented reality, to cognitive computing, the New Year will be one of rapid and dramatic change, say these technology experts. Here are their predictions for trends to expect.

 

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