These are exciting times as technology experiences exponential growth in reach and scope. Although 2016 had its share of ups and downs, 2017 looks set for a digital transformation. While cloud computing witnessed overwhelming adoption and algorithms became new buzzwords, new technologies like Big Data, Analytics, Machine Learning, and Artificial Intelligence could revolutionize industries across the board.
Just imagine your AC switching off to make sure that the power-demanding washing machine has sufficient electricity or bringing your room’s temperature down to the optimum on a particularly sunny day. Or the dishwasher and the mixer-grinder communicating with each other and decide just how much power they should share among themselves to account for the effect of a cloudy day on your solar power plant. A connected appliance such as smart fridge, TV, washing machine, and home security systems with cameras and sensors could take center stage. This is the Smart Home for you in 2017. With the evolution of more and more sophisticated sensors, exponential expansion in 3G and 4G services (with talks of 5G hovering in the air) and broadband connectivity, there could be a smart revolution in our lives. While the technologies matured in 2016, 2017 could see rapid expansion and acceptability.
With the rapid spread of the internet, cloud services could become more affordable for SMEs and small businesses. Overall, this would help the Software as a Service (SaaS) grow, with particular fillip for the ERP sector, which will become more cost-effective and easier to deploy. This should help SMEs catch up with big corporate. Moreover, cloud shift could also affect big businesses. According to a Gartner report, by 2018, at least 25 percent of new core financial application deployments in large enterprises will be public Cloud SaaS. The research firm has further predicted that at least 30 percent of service companies will move their ERP to the cloud by 2018.
“The cloud shift will increase in 2017, carrying on the momentum from 2016. The sector will witness expansion as on-premise computing sees a decline. Data center business would flourish proportionate to the cloud shift as companies look for cloud service providers to decrease costs and increase flexibility of operations,”
There has been a lot of talk about these two technologies in 2016; their scope and usability look set to increase in 2017. Top tech companies such as Apple and Google are already looking for ways to leverage state-of-the-art Machine Learning and Artificial Intelligence technologies to make smarter products in areas such as cloud computing and robotics.
Although the concept might be at an experimental stage, it would take off hugely once industry goes in for emerging and allied innovations such as the industrial internet of things. The industry would shed its reluctance of the technology, but I am expecting the process to be gradual. However, of all the sectors, health care could prove to be the dark horse for Big Data Analytics as it seeks to resolve some of the hardest medical problems with the help of this technology. As sensors get affordable, data collection could reach unprecedented levels. This would offer fresh insights into areas as diverse as treatment of diseases to environmental conservation. For Third World countries such as India, the technology offers the scope to cut down on medical expenses and universalize health care and bring in people who had been out of the ambit thus far. Increasingly sophisticated Analytics tools could lead to large-scale adoption and an overall increase in business competitiveness.