Why SMB’s should embrace the latest Disruptive Tech. The benefits from disruptive integrations will ensure that SMB’s will be able to compete with their larger competitors.
It may seem like a relentless task to keep-up with the latest technology trends . As with many new technologies, it is important to stay ahead of the curve or be left behind. These must-do technology integrations will have a huge impact for nearly every industry.
As we come close to the end of 2019, it’s time to talk about the coming year! You are likely planning for your next technology upgrade and it has been and will be an ongoing discussion. There are so many new and evolving ways of handling the plethora of data and it will continue to be the focus in 2020 and beyond. Understanding the data and being able to make good decisions from the analysis is the key to your business’s future success.
The top disruptive Innovations will continue to be AI, RPA, DataOps, Analytics, Video and Communications, they will be disruptive, but in the most positive ways.
In 2020 and beyond, enterprises will continue to look at new and evolving ways of getting the most from their data. Making better decisions is the reason for finding ways to leverage the innovations in artificial intelligence, edge computing and software robots to gain a competitive advantage and efficiently use data. This analytics-based decision making is quickly becoming more important. Organizations that ignore the writing on the wall and fail to anticipate these and other emerging trends risk a rapidly accelerating business crisis.
Employing an innovation strategy to get a sense of where businesses should focus their efforts, we researched the top publications in software development and business tech trends to find where experts believe these specific technologies would give businesses the most boost in ROI, what we found was that during your digital transformation phases, these technologies will help the most. Insights from the pros in these fields are shared with their top picks for what should be on your radar and the implications of adopting these disruptive technologies.
Robotic process automation (RPA)
What would happen if companies could delegate tedious business process tasks to software robots for automation? It’s called robotic process automation (RPA) and, the technology is already having an impact in streamlining workflows for early adopters — well in advance of when many have thought the technology would be put to use in the enterprise.
The rate of adoption is low but the rate of advancements in the functionality is high. According to Gartner, RPA is outpacing all other segments of the enterprise software market worldwide, with expected revenue of $1.3 billion this year. The market grew 63 percent last year to $846 million.
The biggest benefit to companies is the ability to remove repetitive and routine tasks from an employee’s daily activities and allows them to focus on higher-value work. Helping the business by increasing innovation or enhance their customer experience. Teams do that much better when they have reduced their mundane tasks to focus on the more creative aspects of their jobs. Boosts in operational efficiency improve quality and enhance regulatory compliance.
Increased business value is being proven every-day with companies who invest and integrate RPA initiatives.
Artificial intelligence & AI as a Service
AI is making inroads by helping companies combat problems that would be daunting or impossible for tech or business staff.
Most don’t believe that there will be a rising-up of machines like in the Terminator movies, but we are seeing more tasks and problems being taken over by AI or ML. The AI and ML strategy will mainly consist of reducing some of the boring workload or enabling new processing at a scale not possible with humans. Most of the large volume scaling that would be perfect for AI or ML would either take a long time manually or not be completed at all.
AI continues to play a big part in helping to secure organizations from security threats. Cybersecurity is a perfect place for AI and its superior ability to analyze signals and issues within the organization’s network with real-time monitoring 24/7.
The combining of a SaaS business model with AI services could help bring AI to the masses without costing businesses too much. While advances in AI are racing ahead in some areas they are lagging in others (e.g. speech recognition). Many top tech companies are already providing AI provider platforms, offering services such as processing-intensive GPU workloads. Adoption will continue to increase especially when Google, Amazon, Microsoft and other large companies already offer machine-learning solutions and training materials. Services expansion in this area, and a move to more specific AI tasks being offered on subscription basis is a likely development in 2020.
DataOps & Prescriptive Analytics
It is more than important to plan and implement an agile-like approach to handling data using AI and machine learning technologies which can help give companies the edge they need to compete and even win in their sector in 2020 and beyond. This approach combined, cross-functional analytics, known as DataOps, is more than likely to prove highly disruptive where and when adopted.
The people-side of business is as important as the work processes that run the business. According to Gartner, “the current adoption rate of DataOps is less than 1 percent of the addressable market — but that 1 percent is going to have a huge competitive advantage.”
The industries that are leading this revolution are the ones that meld agile and DevOps. Datascience teams thrive in this environment. AI models and analytics also help in this arena, to help organizations realize their true goals.
DataOps has the ability to improve teamwork by reducing manual process that tend to reduce productivity, DataOps helps to transform orgs from chaotic and slow to high-performance teams. Workflows related to data analytics benefit from the unifying effects of DataOps.
Prescriptive analytics continues to have a halo effect with more data-analytics products in the market place. Until now, analytics tools have been mostly focused on both descriptive and predictive applications. This focus allows historical data to be better arranged and represented to improve and facilitate the understanding of the changes that have occurred which makes the data highly usable to make predictions about future events and behavior.
Video and unified communication
Employees are no longer the throw-away commodity they were in the past. Loyal employees are a crucial factor for an enterprise’s success — not just in terms of productivity but as a key element in drawing the “right” talent through the door. The employee experience is at the forefront of this loyalty. A recent survey at MIT of nearly 300 companies to determine what makes a great employee experience, researchers found a surprise at the top of the list: video. Investments in video technology lead to innovation, as well as improved collaboration and productivity, researchers found.
Investing in video technologies to spread the use of agile methodology to all areas of your business can stimulate communication and enhance interactions between the teams to significantly improve project delivery. Experts agree and predict that video tech will continue to simulate and improve face-to-face communication with new features, such as virtual reality (VR) and other immersive tech, especially as organizations work to fill the skills gap with distributed teams.
Is 5G all Hype?
To expect 5G to do what it is said to do is not realistic. The fact that a nationwide rollout of the technology will take years to complete is not hindering orgs from making detailed plans for high-speed, low-latency.
It’s the 5G WiFi, that is lightning-fast internet straight from our cellular networks. You can expect more of this in the future. The increased bandwidth will provide faster internet speeds with a simpler setup process. If that’s not enough reason to get on the band-wagon, the 5G networks will also facilitate the use of drones and driverless cars, allowing them to rapidly communicate with any other smart vehicles in their vicinity, an essential component for futuristic, smart cities.
A serious benefit for businesses is the ability to implement scalable, real-time data architectures that go beyond simply ingesting data and ultimately driving actions by making intelligent, dynamic decisions across multiple data streams.
Microservices and containers continue to attract interest from organizations that need to quickly develop and scale code, especially when dealing with IoT or the cloud.
The widepread adoption of Kuberenetes’ has been facilitated by the need to enable new architecture that can scale up quickly. Kubernetes, an open source container orchestration system automates container deployment, scaling, and management. Although there are other container and microservice technology platforms, there is much vendor attention being focused on Kubernetes. The notability of Kubernetes has helped expand and amplify a host of other technologies such as service mesh and container-based CI/CD pipeline automation products.
Augmented, Virtual, and mixed reality experiences
The latest virtual and augmented reality experiences have been well noted and extolled as the “Tech to Have” but somewhat slow to deliver. The promise of these personalized reality experiences is tempting and the potential benefits of augmented reality (AR) in particular are hard to pass up for many industries. There will be no limit to the benefits for brick-and-mortar retailers to industrial applications and training.
Many industries will benefit from the AR and VR experiences. Many believe that immersive experiences that are innate with AR and VR will begin to have extreme benefits for training and education programs allowing a new level of learning using the areas of the brain that come from being involved in the action and not just learning about it.
Internet of Things integrations
The strategies of businesses that integrate the internet of things technologies will help drive revenue with boosting production, monetizing data or by helping to sell services as a product.
Analyzing all the data that your business is collecting will allow you to figure out the best way to utilize the data for business purposes including the latest IoT technology integrations. The wide adoption of machine learning tech will allow more access to data within a company and will be able to provide improved customer experience, especially with IoT. This ML adoption will lead to monetizing the technology through customer interactions with the data they have accumulated over the years, making the data work harder.