Exciting Tech Trends 2017
Updated: Jul 29, 2019
A few years ago, cloud technologies were considered cutting-edge. Now a robust and mature platform, cloud technologies are driving advancements and creating new paradigms in business, health care, research, and the interconnected world. So what new innovations can we expect for 2017?
AI & Advanced Machine Learning
Artificial Intelligence (AI) and machine learning have reached a critical tipping point and will increasingly augment and extend virtually every technology enabled service, thing or application. Creating intelligent systems that learn, adapt and potentially act autonomously rather than simply execute predefined instructions is primarily battleground for technology vendors through at least 2020.
AI and machine learning, which include technologies such as deep learning, neural networks and natural-language processing, can also encompass more advanced systems that understand, learn, predict, adapt and potentially operate autonomously. Systems can learn and change future behavior, leading to the creation of more intelligent devices and programs. The combination of extensive parallel processing power, advanced algorithms and massive data sets to feed the algorithms has unleashed this new era.
IoT and Smart Home Tech.
We’ve been hearing about the forthcoming revolution of the Internet-of-Things (IoT) and resulting interconnectedness of smart home technology for years. So what’s the holdup? Why aren’t we all living in smart, connected homes by now? Part of the problem is too much competition, with not enough collaboration there are tons of individual appliances and apps on the market, but few solutions to tie everything together into a single, seamless user experience. Now that bigger companies already well-versed in uniform user experiences (like Google, Amazon, and Apple) are getting involved, I expect we’ll see some major advancements on this front in the coming year.
Humanized Big Data. (visual, empathetic, qualitative)
Big data has been a big topic for the past five years or so, when it started making headlines as a buzzword. The idea is that mass quantities of gathered data which we now have access to—can help us in everything from planning better medical treatments to executing better marketing campaigns. But big data’s greatest strength its quantitative, numerical foundation is also a weakness. In 2017, I expect we’ll see advancements to humanize big data, seeking more empathetic and qualitative bits of data and projecting it in a more visualized, accessible way.
Intelligent apps, which include technologies like virtual personal assistants (VPAs), have the potential to transform the workplace by making everyday tasks easier (prioritizing emails) and its users more effective (highlighting important content and interactions). However, intelligent apps are not limited to new digital assistants every existing software category from security tooling to enterprise applications such as marketing or enterprise resource planning (ERP) will be infused with AI enabled capabilities. Using AI, technology providers will focus on three areas advanced analytics, AI-powered and increasingly autonomous business processes and AI-powered immersive, conversational and continuous interfaces. By 2018, Gartner expects most of the world’s largest 200 companies to exploit intelligent apps and utilize the full toolkit of big data and analytics tools to refine their offers and improve customer experience.
Blockchain and Distributed Ledgers
Blockchain is a type of distributed ledger in which value exchange transactions (in bitcoin or other tokens) are sequentially grouped into blocks. Each block is chained to the previous block and recorded across a peer-to-peer network, using cryptographic trust and assurance mechanisms. Blockchain and distributed-ledger concepts are gaining traction because they hold the promise to transform industry operating models. While the current hype is around the financial services industry, there are many possible applications including music distribution, identity verification, title registry and supply chain.
Within three to five years, billions of things will be represented by digital twins, a dynamic software model of a physical thing or system. Using physics data on how the components of a thing operate and respond to the environment, as well as data provided by sensors in the physical world, a digital twin can be used to analyze and simulate real world conditions, responds to changes, improve operations and add value.
Digital twins function as proxies for the combination of skilled individuals (e.g., technicians) and traditional monitoring devices and controls (e.g., pressure gauges). Their proliferation will require a cultural change, as those who understand the maintenance of real-world things collaborate with data scientists and IT professionals. Digital twins of physical assets combined with digital representations of facilities and environments, as well as people, businesses and processes will enable an increasingly detailed digital representation of the real world for simulation, analysis and control.