Infrastructure for 5G capabilities must be prioritized
Cities like Indianapolis, Dallas, Atlanta and others are gaining access to 5G networks that allow data centers to process information faster. Faster processing can power self-driving cars and other IoT products that need instant-processing time to work how we want. Today, these same cities are battling service providers for location and zoning control which prevents widespread adoption. Moving into 2020 this has to be made a priority. 5G is the first network access that could help make autonomous vehicles safer and more secure because the vehicle has more efficient access to the data needed to make decisions.
Data centers can be autonomous and prevent outages
Technological advances in today’s apps and IT architectures will force more than half of the world’s large enterprises to upgrade existing data centers by 2020. Some may have to deploy new data centers entirely. Most of our data centers are simply not equipped to perform at the rate of consumer demand or innovation. Being proactive by deploying data centers with autonomous elements can help enterprises stay competitive. Things like IoT sensors and other products that provide businesses with information about hardware life-cycles and potential outages will not only prevent costly repairs, but it eliminates the need for 24/7 on-call engineers.
IoT can analyze and suggest solutions from data
The trend of collecting “big data” just to have it on hand is over. Businesses now have to use that data in ways that allow them to make crucial decisions that affect their bottom-line, like customer satisfaction, preventive maintenance, etc. Predictive analytics will continue to advance and give industries like manufacturing and logistics not only the data they need, but the suggested actions and steps to take as a result.
Faster networks enable move from narrow to general intelligence
There are two levels of machine learning, or what most call artificial intelligence (AI): narrow and general. Narrow AI can only complete a very niche task like transcription, or purchasing suggestions based on previous shopper behavior. Even self-driving cars that exist today only use narrow AI in a specific, coordinated pattern. The second level, or artificial general intelligence, can process data and devise decisions ways that make it nearly indistinguishable human decision-making. Google’s recent announcement that Google Duplex can make hair appointments and order pizzas means that machine learning is closer than ever to passing the famed Turing Test, or becoming indistinguishable from a human being.
“Smart" vehicles will saturate the market
Connected car platforms and machine learning assistants in today’s vehicle models are gaining speed in the auto industry. New models will have more of these capabilities, allowing “Siri-like” assistants in personal vehicles. Imagine if your car knew you were tired and directed you to the next coffee shop, even ordering and paying for your drink before you arrive! It's a competitive field, though, and not without casualties. Uber had a promising self-driving truck named Otto that went defunct last year.
All industries will continue to join the digital transformation
A complete transition to cloud computing has been challenging for some businesses resulting in growth of hybrid-cloud approaches. For some organizations, this means using an on-premises and cloud solution, or using multiple clouds to achieve what works best for that business. While “moving to the cloud” has been an upward trend for years, by 2022 an estimated one-third of IT spending will be for cloud-based software and services. Every industry is quickly seeing benefits of using this new way to procure IT software and infrastructure.
Blockchain can increase consumer confidence
Cryptocurrency isn’t the only way to use blockchain technology. In fact, it can be applied in a variety of industries because it’s effective as a backend. More IoT products and services can secure and privatize customer data in smart home devices and smart cars. We will continue to see exploration using blockchain this year as a way to add transparency to our supply chains and to track ownership. For example, national food recalls can be virtually eliminated using blockchain and nanotechnology sensors that track food origin and shipment.
Chatbots will get smarter and improve customer experiences
Machine learning’s natural language processing capabilities are better than ever, so it won’t be surprising to see big leaps in customer service “chatbots” to solve customer problems faster. And 70% of customers said they’d use chatbots any day or hour if their issue was resolved quickly. More importantly, chatbots can reduce the annoying teleprompt aspects of contacting customer service. Customers say they don’t feel frustrated with chatbots because they feel they are being heard and understood, even if they are transferred to a human representative. Results of these studies are so promising, 80% of brands are planning to implement chatbots by 2020.