Blockchain, AI and – digital twins: Gartner – s ten tech trends for 2017, CIO Dive

Blockchain, AI and 'digital twins': Gartner's ten tech trends for two thousand seventeen

Published

Technology is more and more of a priority for businesses, with strategic investments being made to pivot corporations for the future of technology. But what will that look like?

To adapt and keep up, companies are rolling out bimodal strategies , which highlight “planning and predictable switch” at the same time as there is emphasis placed on “experimental and disruptive switch,” technology research rigid Gartner reported last week. Those bimodal strategies will permit enterprises to roll out fresh and innovative technologies in the coming year.

Global IT spending will reach $Trio.Five trillion in 2017, up almost 3% above 2016’s estimated spending of $Three.Four trillion, according to projections released at the Gartner Symposium/ITxpo in Orlando, FL last week. In particular, the research rigid projects companies will increase spending significantly in software and IT services. This highlights the continued shift toward as a Service models , where companies contract out work or purchase the necessary software, rather than creating it in house.

But, what technology will see an enhanced presence in the enterprise in the coming year? Gartner predicts the following ten technology trends for 2017:

1. AI and the advancement of machine learning

We’ve seen this one coming. It’s been on the horizon for a while with companies working to roll capabilities they think will reshape how work is done. Organizations see ample potential for machines that can solve complicated problems (I’m looking at you Watson, with your cancer fighting ways ). To help adapt to the switch, industry leaders are teaming to create better public awareness and understanding of the technology.

Gartner expects the tech to budge beyond rule-based problem solving to creating “intelligent” machines that can adapt, and even operate, autonomously. It will be used in everything from devices to apps and services, employed by both consumers and businesses alike.

Some industries, in particular, will look to snap up the tech, including business services, advertising and media and entertainment, according to a latest report from Tractica .

Two. Intelligent apps

The stir toward intelligence and automation is part of a larger trend to make products and services more intuitive to customer needs. Gartner considers intelligent apps technologies such as virtual individual assistants (VPAs), which make everyday tasks lighter while adapting to understand user behavior and grow more intelligent. So the Siris and the Alexas of the technology world will see growing adoption in 2017.

So too will virtual customer assistants, intelligent apps used particularly in the sales and customer service space, according to Gartner. This isn’t Microsoft’s Clippy of a bygone era. Instead, the applications anticipate user behavior and can help with the more mundane tasks that persist in the workplace.

Intelligent agents will grow in use in the coming years. Eventually, technologies such as x.ai’s virtual assistant Amy , and its masculine counterpart Andrew, will become commonplace in the enterprise. Over the next ten years, Gartner expects almost every application, services or app to include at least some amount of AI.

Trio. Intelligent things

Rather than standalone “intelligent things,” such as drones or wise appliances, Gartner forecasts in the coming year those items will begin to collaborate, permitting for more natural interaction natural surroundings and people.

Yes, this is self-driving cars and the Internet of Things, which are already present in the technology landscape. But, rather than standalone objects that can pull off a neat trick or two for the entertainment of many, devices will begin to work together to create an ecosystem that can intuit behavior and adapt to accommodate user needs.

So AT&T’s drones tooled with AI ? Yeah, we’ll see a lot more of those and other applications of the intelligent technology in the coming year.

Four. Conversational systems

While this may seem like more chatbots or microphone-enabled devices, Gartner expects conversational systems to grow in application beyond ordering pizza or speaking with Microsoft’s rogue Tay . In 2017, the research rigid projects a growing number of endpoints, with the conversational ecosystem expanding to encompass social communities as well as both government and business interactions.

There will not only be a shift in who people interact with via conversational contraptions, but also how people will interact, expanding beyond desktop computers and mobile devices.

However some think the potential for bots is a bit overhyped , Gartner expects conversational systems will embark cooperating and interacting with one another to create a “fresh continuous and ambient digital practice.”

Five. Mesh app and service architecture

Gartner, overall, expects enlargened collaboration with devices, creating an enlargened “digital mesh.” Part of this is an augmentation of what users see as an “application.” Rather than merely a plain software, back-end services will have an architecture that encompasses mobile, web, desktop and IoT apps linked together to create the application practice.

To accommodate this budge, Gartner projects companies will have to create scalable and agile services, with APIs employed at numerous levels. The enhanced request for digital interaction is expected to drive significant growth in the API market, as users call for a more immersive practice.

6. VR and AR

What Gartner refers to as “immersive technology” will switch the way those in the enterprise interact, both with one another and with software systems. Because of the continued shift toward IoT and the presence of many devices in the enterprise — including wearables and increasingly powerful smartphones (but not too powerful, because companies don’t want technology packing a punch, er, or searing ) — virtual and augmented reality technologies will help create a more seamless system for the users, Gartner projects.

Tho’ skeptics persist, industry leaders are already working on platforms to assist with wise glasses adoption. VMware, for example, recently announced a feature in its enterprise mobility and management platform can manage wise glasses , which exist alongside both desktop and mobile endpoints.

7. “Digital Twin”

Gartner’s “digital twin” is a software model or replica of a physical thing or system, which relies on sensor data to understand what is happening to the physical thing so it can make improvements and react to any switches.

Digital twins will see broad adoption in enterprises that rely on equipment for service, such as in manufacturing or a factory setting. Rather than having to physically inspect a device to see if it’s malfunctioning, a company can stay in tune with any switches, permitting organizations to react in a timely manner. The digital twin could even anticipate a potential malfunction if it senses environmental switches.

The research rock hard projects that digital twins will become intermediaries for those who fix and work with devices and traditional monitoring devices.

8. Digital technology platforms

What Gartner refers to as digital technology platforms truly comes down to five main areas of business technology: information systems, customer practice, analytics and intelligence, IoT and “business ecosystems.”

However the five technologies may seem as a given in today’s modern enterprise, many, if not most, companies are still in the midst of a digital transformation. While efforts are underway, companies still have a long way to go before they are ready for modern era of business technology.

9. Blockchain

Here’s the buzzword we can’t stop hearing about: The technology is rapidly moving beyond the financial services sector toward other industries looking to verify the integrity of critical information. A distributed ledger where transactions are grouped together in “blocks,” blockchain employs “crytographic trust” and “assurance mechanisms” that organizations can trust, holding the potential to significantly disrupt operating models, according to the research stiff.

Recently, many organizations have reported efforts to employ blockchain. Swedish telecom company Ericcson is using blockchain to ensure data integrity and to help service as the foundation for its growing cloud presence. The Defense Department’s research arm, DARPA, is even looking into the technology to help secure both nuclear weapons and satellite security .

As the technology grows in potential application, more companies will stir to create services that support it, such as IBM’s suite of blockchain services .

Ten. Adaptive security

With enterprises applying newer and more innovative technologies, the threat landscape has grown even more malicious. Companies, in turn, have to adapt to that environment, accepting that risk is a given in the enterprise.

Companies need to remain permanently aware of user and entity behavior particularly in IoT settings, according to Gartner. Part of the fresh era of security is how companies establish preventative measures and react to incidents . So, if an employee is phished, for example, rather than a spank on the wrist, the incident calls for extra end user training .

Blockchain, AI and – digital twins: Gartner – s ten tech trends for 2017, CIO Dive

Blockchain, AI and 'digital twins': Gartner's ten tech trends for two thousand seventeen

Published

Technology is more and more of a priority for businesses, with strategic investments being made to pivot corporations for the future of technology. But what will that look like?

To adapt and keep up, companies are rolling out bimodal strategies , which highlight “planning and predictable switch” at the same time as there is emphasis placed on “experimental and disruptive switch,” technology research rock hard Gartner reported last week. Those bimodal strategies will permit enterprises to roll out fresh and innovative technologies in the coming year.

Global IT spending will reach $Trio.Five trillion in 2017, up almost 3% above 2016’s estimated spending of $Three.Four trillion, according to projections released at the Gartner Symposium/ITxpo in Orlando, FL last week. In particular, the research rock hard projects companies will increase spending significantly in software and IT services. This highlights the continued shift toward as a Service models , where companies contract out work or purchase the necessary software, rather than creating it in house.

But, what technology will see an enlargened presence in the enterprise in the coming year? Gartner predicts the following ten technology trends for 2017:

1. AI and the advancement of machine learning

We’ve seen this one coming. It’s been on the horizon for a while with companies working to roll capabilities they think will reshape how work is done. Organizations see phat potential for machines that can solve complicated problems (I’m looking at you Watson, with your cancer fighting ways ). To help adapt to the switch, industry leaders are teaming to create better public awareness and understanding of the technology.

Gartner expects the tech to budge beyond rule-based problem solving to creating “intelligent” machines that can adapt, and even operate, autonomously. It will be used in everything from devices to apps and services, employed by both consumers and businesses alike.

Some industries, in particular, will look to snap up the tech, including business services, advertising and media and entertainment, according to a latest report from Tractica .

Two. Intelligent apps

The stir toward intelligence and automation is part of a larger trend to make products and services more intuitive to customer needs. Gartner considers intelligent apps technologies such as virtual private assistants (VPAs), which make everyday tasks lighter while adapting to understand user behavior and grow more intelligent. So the Siris and the Alexas of the technology world will see growing adoption in 2017.

So too will virtual customer assistants, intelligent apps used particularly in the sales and customer service space, according to Gartner. This isn’t Microsoft’s Clippy of a bygone era. Instead, the applications anticipate user behavior and can help with the more mundane tasks that persist in the workplace.

Intelligent agents will grow in use in the coming years. Eventually, technologies such as x.ai’s virtual assistant Amy , and its masculine counterpart Andrew, will become commonplace in the enterprise. Over the next ten years, Gartner expects almost every application, services or app to include at least some amount of AI.

Trio. Intelligent things

Rather than standalone “intelligent things,” such as drones or clever appliances, Gartner forecasts in the coming year those items will begin to collaborate, permitting for more natural interaction natural surroundings and people.

Yes, this is self-driving cars and the Internet of Things, which are already present in the technology landscape. But, rather than standalone objects that can pull off a neat trick or two for the entertainment of many, devices will begin to work together to create an ecosystem that can intuit behavior and adapt to accommodate user needs.

So AT&T’s drones tooled with AI ? Yeah, we’ll see a lot more of those and other applications of the intelligent technology in the coming year.

Four. Conversational systems

While this may seem like more chatbots or microphone-enabled devices, Gartner expects conversational systems to grow in application beyond ordering pizza or speaking with Microsoft’s rogue Tay . In 2017, the research rock hard projects a growing number of endpoints, with the conversational ecosystem expanding to encompass social communities as well as both government and business interactions.

There will not only be a shift in who people interact with via conversational devices, but also how people will interact, expanding beyond desktop computers and mobile devices.

However some think the potential for bots is a bit overhyped , Gartner expects conversational systems will embark cooperating and interacting with one another to create a “fresh continuous and ambient digital practice.”

Five. Mesh app and service architecture

Gartner, overall, expects enhanced collaboration with devices, creating an enhanced “digital mesh.” Part of this is an augmentation of what users see as an “application.” Rather than merely a elementary software, back-end services will have an architecture that encompasses mobile, web, desktop and IoT apps linked together to create the application practice.

To accommodate this budge, Gartner projects companies will have to create scalable and agile services, with APIs employed at numerous levels. The enlargened request for digital interaction is expected to drive significant growth in the API market, as users call for a more immersive practice.

6. VR and AR

What Gartner refers to as “immersive technology” will switch the way those in the enterprise interact, both with one another and with software systems. Because of the continued shift toward IoT and the presence of many devices in the enterprise — including wearables and increasingly powerful smartphones (but not too powerful, because companies don’t want technology packing a punch, er, or searing ) — virtual and augmented reality technologies will help create a more seamless system for the users, Gartner projects.

Tho’ skeptics persist, industry leaders are already working on platforms to assist with clever glasses adoption. VMware, for example, recently announced a feature in its enterprise mobility and management platform can manage wise glasses , which exist alongside both desktop and mobile endpoints.

7. “Digital Twin”

Gartner’s “digital twin” is a software model or replica of a physical thing or system, which relies on sensor data to understand what is happening to the physical thing so it can make improvements and react to any switches.

Digital twins will see broad adoption in enterprises that rely on equipment for service, such as in manufacturing or a factory setting. Rather than having to physically inspect a device to see if it’s malfunctioning, a company can stay in tune with any switches, permitting organizations to react in a timely manner. The digital twin could even anticipate a potential malfunction if it senses environmental switches.

The research rigid projects that digital twins will become intermediaries for those who fix and work with devices and traditional monitoring contraptions.

8. Digital technology platforms

What Gartner refers to as digital technology platforms truly comes down to five main areas of business technology: information systems, customer practice, analytics and intelligence, IoT and “business ecosystems.”

Tho’ the five technologies may seem as a given in today’s modern enterprise, many, if not most, companies are still in the midst of a digital transformation. While efforts are underway, companies still have a long way to go before they are ready for modern era of business technology.

9. Blockchain

Here’s the buzzword we can’t stop hearing about: The technology is rapidly moving beyond the financial services sector toward other industries looking to verify the integrity of critical information. A distributed ledger where transactions are grouped together in “blocks,” blockchain employs “crytographic trust” and “assurance mechanisms” that organizations can trust, holding the potential to significantly disrupt operating models, according to the research rigid.

Recently, many organizations have reported efforts to employ blockchain. Swedish telecom company Ericcson is using blockchain to ensure data integrity and to help service as the foundation for its growing cloud presence. The Defense Department’s research arm, DARPA, is even looking into the technology to help secure both nuclear weapons and satellite security .

As the technology grows in potential application, more companies will budge to create services that support it, such as IBM’s suite of blockchain services .

Ten. Adaptive security

With enterprises applying newer and more innovative technologies, the threat landscape has grown even more malicious. Companies, in turn, have to adapt to that environment, accepting that risk is a given in the enterprise.

Companies need to remain permanently aware of user and entity behavior particularly in IoT settings, according to Gartner. Part of the fresh era of security is how companies establish preventative measures and react to incidents . So, if an employee is phished, for example, rather than a smack on the wrist, the incident calls for extra end user training .

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