8 Disruptive Technologies Affecting Business this Year

Updates on New Technologies that will Disrupt Business in this year is now available. These eight groundbreaking innovations and trends will start driving the way business is done in forward-thinking companies in the years to come. From artificial intelligence to virtual reality will be disruptive technologies for the year. This is an article on Disruptive Technology – Overview, Examples and Success Factors.

In almost every industry, technology’s speed of change has had a profound effect. It is not enough these days to remain on top of new technologies, but to keep ahead of them.

New and emerging ways of snatching data will take center stage in the enterprise in the coming year. As companies look to use data rapidly and efficiently to make better business decisions, advances in artificial intelligence, edge computing and software robotics can increasingly be leveraged for competitive advantage.

Organizations that do not predict these and other emerging developments are at risk of a rapidly accelerating existential crisis. Learn the 10 values of old-school IT that still rule and IT should resist the 12 ‘best practices‘ at all costs. | With our 2021 State of the CIO survey, find out what your peers are up to. | Get the latest insights by subscribing to our regular newsletter from Hybrid Cloud Tech.]

We spoke with technology experts about what they see most likely impacting a wide range of organizations as they experience digital transformations to get a sense of where companies can position their bets. In these areas, pros gave us their top picks for what should be on your radar, as well as some insights into the effects of these revolutionary innovations and/or disruptive technologies being implemented.

1. Robotic Process Automation (RPA)

Companies are seeing huge benefits from a basic concept: delegating repetitive business process duties to automation software robots. The technology is already having an effect on streamlining workflows for early adopters, called robotic process automation (RPA), long ahead of when many expected the technology would be put to use in the enterprise.

“Robotic process automation’s rate of advancement and functional utility is shockingly good and seems to be improving by the hour,” says Matt Stevens, CEO of AppNeta, based in Boston. “I didn’t really expect to see this level of intelligence or ability arrive this fast.”

RPA is outpacing all other segments of the enterprise software industry worldwide, according to Gartner, with estimated sales this year of $1.3 billion. Last year, the industry expanded 63 percent to $846 million.

Thomas Phelps, CIO at Laserfiche, says, “RPA removes repetitive and routine tasks from the daily activities of an employee and allows them to focus on higher-value work.” Organizations using RPA will take the bot out of the person by allowing them to concentrate on tasks that help the organization innovate or improve customer service.

Expect many more businesses to carry out RPA programs in the months ahead with an established route to market value.

2. Artificial Intelligence (AI)

According to Tim Jobling, CTO of Imagen, AI helps businesses solve challenges that would be overwhelming or difficult for technology or business personnel.

We’re not buying into the vision that robots are just going to take over all human work,” Jobling says, “but we’re seeing a bit of a transition similar to the first time computers became mainstream.

Today, we are seeing a number of issues being solved by approaches to AI and ML [machine learning] and this mostly takes away some of the boring workload or makes new processing at a scale that is not practical when people need to do the job. For instance, Artificial Intelligence (AI) allows our clients to construct searchable audio metadata that can then be used and scaled to a large volume. This process will be performed manually, or not at all, without AI.

In protecting organizations from security threats, AI also plays an important role, a trend that Vinay Sridhara, Balbix CTO, expects will continue to gain traction in the coming year.

“Enterprises use AI by analyzing up to several hundred billion time-varying signals across their network to allow their cybersecurity teams to get an accurate idea of breach risk,” Sridhara says. Azure AI: Impacting Artificial Intelligence to your Online Business.

This helps chief information security officers to continually evaluate high-volume, high-speed cybersecurity data and gain insight into the breach risk of their business in real time. AI-powered systems also have prioritized measures to remedy problems to drive business-wide cyber risk mitigation, helping them to better protect the information of their customers.

3. DataOps

According to Renee Lahti of Hitachi Vantara, implementing an agile-like approach to data management with AI and machine learning would help offer businesses an advantage in 2020. Where implemented, this collaborative, cross-functional approach to analytics, referred to as DataOps, could prove extremely disruptive.

“This is just being figured out by companies,” Lahti says. It’s more about individuals rather than the method of adoption. The overall adoption rate of DataOps is less than 1 percent of the addressable market, according to Gartner, but that 1 percent would have a major competitive advantage.

DataKitchen’s CEO, Chris Bergh, says the concept incorporates agile growth, DevOps, and lessons learned from production.

“It’s a methodology that allows data science teams to thrive despite the increasing complexity levels needed to deploy and maintain analytics in the field,” Bergh says. “Data science teams can concentrate on their area of expertise without the burden of technical debt and unplanned work, creating new AI models and analytics that help businesses realize their mission.”

The strategy, which unifies data analytics related workflows, can have intangible ripple effects on the ability of an enterprise to derive value from its data, Bergh says. This increases coordination and reduces manual processes that weigh down efficiency. DataOps converts from chaotic and sluggish to high-performance teams to data organizations.

4. Video and Unified Communication

Employee experience is becoming a key factor in organizational performance, not only in terms of efficiency, but as a key attraction to getting talent through the door that is highly sought after. Researchers at MIT find a surprise at the top of the list in a survey of almost 300 businesses to decide what makes an outstanding employee experience: video. Researchers found that video technology investments contribute to creativity, as well as increased teamwork and productivity. See updates on Video Conferencing Development.

“In particular, we see companies investing significantly in interactive video technologies as they spread the use of agile methodology to the rest of the company beyond their software development teams,” says Kristine Dery, a research scientist at the Sloan Center for Information Management Research at MIT.

“With daily stand-ups, this highly interactive agile project delivery method requires teams to either be face-to-face or have the technologies that replicate those more intimate circumstances as closely as possible.”

Dery predicts that video technology will continue to simulate and enhance face-to-face interaction with new features, such as virtual reality (VR) and other immersive technology, especially as organizations work with virtual groups to fill the skills gap.

Likewise, in the years ahead, AppNeta’s Stevens sees Unified Communications (UC) making a comeback.

“Chronic problems of friction and reliability made early UC solutions a gamble for companies,” says Stevens. But these drawbacks have been overcome by current tools, he says. Add essential visual and content-sharing features to the new UC tools. In reality, by facilitating wider inclusion and active engagement in today’s increasingly dispersed work environments, they can boost meeting performance, having an effect beyond and beyond what face-to-face interactions can offer.

5. 5G

The 5G hype appears to ignore the fact that it would take years to achieve a national rollout of the technology. But that doesn’t deter companies from forming their strategies for low-latency, high-speed wireless service. “Look at the Analysis of 5G Edge Computing & New Infrastructure. The decide if its among the destructive technologies”.

“Even before widespread network availability, organizations are advancing their 5G strategies,” says Jason Hayman, a TEKsystems market research analyst.

Dheeraj Remella, VoltDB CTO, also sees potential in 5G, but warns that technology expectations could lead to issues.

“If the data onslaught that comes with 5G can not be handled by both wireless carriers and businesses, latency in processes where either staff or customers expect the real-time feedback now available with faster network speeds has the potential to incite revolts against certain brands or technologies,” says Remella.

To tackle this, Remella says that businesses should adopt scalable, real-time data architectures that go “beyond just ingesting data and ultimately driving action by making smart, dynamic decisions across multiple data streams.”

Plus, Remella sees a ripple effect with 5G. “The 5G promise is forcing organizations to identify current change-ready processes and ensure that the existing IT stack can meet the requirements of the new networks,” he says. “For this reason, 5G is driving other important technologies, from edge computing to VR and stream processing, to be adopted.” View the Top Ten Digital Transformation Trends in 2021: 5G, Artificial Intelligence, Telecommuting…

6. Containers

Containers and microservices are attracting interest, particularly when working with IoT or the cloud, from organizations that need to build and scale code quickly. Read up this Container 101 Tutorials: Kubernetes Technology.

It is fascinating to see IoT ventures, together with organizational frameworks around DevOps and microservices, bringing in several trendy technologies such as edge computing, serverless and containers,” says Todd Loeppke, lead CTO architect at Sungard AS.”

Related: Setting up Windows Container Service on a Kubernetes Cluster.

A number of our experts pointed to Kubernetes, an open source container orchestration framework that automates the deployment, scaling, and management of containers, being widely adopted. Tom Petrocelli, a research fellow at Amalgam Insights, says, “It enables completely new architectures that can scale up quickly.”

“The target of so much vendor attention is on Kubernetes, that other technology platforms are suffering. A host of other innovations, such as service mesh and container-based CI/CD pipeline automation products, have also helped Kubernetes spawn or amplify.

“Jeff Reser, global product and marketing manager at SUSE, says “Kubernetes is the most common way to deal with containerized applications and services running through on-premises and cloud environments as well as devices of all sizes.

“Automating the deployment and orchestration of infrastructure and applications is integral to software-defined infrastructures, with more and more things to manage.”

7. Immersive Experiences (AR, VR, Mixed Reality)

Immersive experiences were well hyped to deliver, but quite sluggish. The potential is still appealing, and Bill Bodin, CTO of Kony, a company software manufacturer and/or mobile app maker, sees augmented reality (AR) in particular as offering a mix of sectors, from brick-and-mortal stores to industrial applications and training, with business benefits. Learn more.

Immersive experiences, although rather slow, were well hyped to offer. The potential is still enticing, and Bill Bodin, CTO of Kony, a manufacturer of apps, sees augmented reality (AR) in particular as offering a mix of sectors with business advantages, from brick-and-mortal shops to industrial applications and training.

In the travel industry, Bodin also sees examples, with airports offering interactive displays customized to the traveller. “We can use augmented reality in banks to direct customers to key service areas and display the branch staff’s names and specialty areas dynamically,” he adds. “We can provide views of internal peripheral failures for those that service banking equipment, such as ATMs, and provide secure repair references tailored precisely to the problem.”

Todd Maddox, an Amalgam Insights research fellow with an emphasis on brain science, also sees future applications of educational programs for immersive experiences.

“VR has great training potential and soft skills,” he says, particularly for training people’s skills, such as empathy, communication, and the like. Also VR and AR are very productive because they are focused on experiential learning and because various brain learning and output centers, including cognitive, mental, emotional and experiential structures, are widely involved in synchrony.

8. Internet of Things (IoT) and Edge Computing

A CompTIA research report from 2019/2020 found that about a third of U.S. businesses assume that IoT strategies can help drive sales by raising efficiency, monetizing knowledge or helping to sell services as a commodity.

Sungard’s Loeppke sees developments in IoT edge computing, but also sees the need for AI and ML tools to manage the created knowledge in a way that is more available to companies. Recent updates: read from these updates below.

Big data has been around for about 10 years now, but finding a way to make sense of it and figuring out how to use it for business purposes is the real challenge with big data,” Loeppke says.

“In my view, traditional tools have been used with limited success. More businesses will be able to have better customer service with Machine Learning (disruptive technologies). All these are made more available and will be more likely to monetize the data they have collected over the years.

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Several of the pros we talked with discussed the advantages of smart processing at the edge before it is submitted to the cloud, like paring down data.

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