In the past 18 months we have seen cloud computing enabling great innovations, both in consumer and enterprise products, as it has become the new normal for organisations of all sizes. Cloud is now the engine room for inventions by young businesses as well as transforming established companies into lean, fast-moving innovators. It is safe to say cloud computing is already having a broad impact...
Despite all of the amazing innovation we have already seen, we are still on Day One. In the second half of 2015 and beyond, cloud will power exciting innovations that will touch every area of our lives. Out of all the things our customers are doing I have picked eight trends that are ready to become big in the remainder of 2015 and beyond.
Cloud analytics are everywhere. There is almost no consumer or business area that is not impacted on by cloud-enabled analytics. Often it is hidden from the consumer's eye as it empowers applications rather than being the end game, but analytics is becoming more prevalent. From retail recommendations to genomics-based product development, from financial risk management to start-ups measuring the effect of their new products, from digital marketing to fast processing of clinical trial data, all are taken to the next level by cloud-based analytics.
Cloud enables self-service analytics. In the past, analytics within an organisation was the pinnacle of old-style IT: a centralised data warehouse running on specialised hardware. In the modern enterprise this scenario is not acceptable. Analytics plays a crucial role in helping business units become more agile and move faster to respond to the needs of the business and build products customers really want. But they are still bogged down by this centralised, oversubscribed, old-style data warehouse model. Cloud-based analytics change this completely.
A business unit can now go out and create its own data warehouse in the cloud of a size and speed that exactly matches what they need and are willing to pay for. It can be a small, two-node, data warehouse that runs during the day, a big 1000 node data warehouse that just runs for a few hours on a Thursday afternoon, or one that runs during the night to give personnel the data they need when they come into work in the morning.
Cloud will enable everything to become smart. These days everything has the ability to become 'smart': a smart watch, smart clothes, a smart TV, a smart home, a smart car; however, in almost all cases, this 'smartness' runs in software in the cloud not the object or the device itself.
Whether it is the thermostat in your home, the activity tracker on your wrist, or the smart movie recommendations on your beautiful ultra HD TV, all are powered by analytics engines running in the cloud.
Cloud analytics improves city life. Related to the above is the ability for cloud analytics to take information from the city environment to improve the living conditions for citizens around the world. A good example is the work the City of Chicago is doing. The City of Chicago is one of the first to bring sensors throughout the city that will permanently measure air quality, light intensity, sound volume, heat, precipitation, wind and traffic. The data from these sensor stream into the cloud where it is analysed to find ways to improve the life of its citizens. The collected datasets from Chicago's 'Array of Things' will be made publically available on the cloud for researchers to find innovate ways to analyse the data.
The Industrial Internet of Things
Cloud enables the Industrial Internet of Things. Often when we think about the Internet of Things (IoT) we focus on what this will mean for the consumer. But in 2015 we will see the rise of a different IoT: the Industrial Internet of Things. Industrial machinery will be instrumented and internet connected to stream data into the cloud to gain usage insights, improve efficiencies and prevent outages.
Whether this is General Electric instrumenting its gas turbines, Shell dropping sensors in its oil wells or Kärcher with fleets of industrial cleaning machines all of these will send continuous data streams for real-time analysis into the cloud.
Cloud enables video analytics. For a long time video was recorded to be archived, played back and watched. With the unlimited processing power of the cloud there is a new trend arising: treating video as a data stream to be analysed. This is being called Video Content Analysis (VCA) and it has many application areas from retail to transportation.
A common area of application is in locations where video cameras are present, such as malls and large retail stores. Video is analysed to help stores understand traffic patterns. Analytics provide the numbers of customers moving as well as dwell times, and other statistics. This allows retailers to improve their store layouts and in-store marketing effectiveness.
Another popular area is that of real-time crowd analysis at large events, such as concerts, to understand movement throughout the venue and remove bottlenecks before they occur in order to improve visitor experience.
Cloud transforms health care analytics. Data analytics is quickly becoming central to analysing health risk factors and improving patient care. Despite health care being an area that is under pressure to reduce cost and speed up patient care, cloud is playing a crucial role and helping health care go digital.
Cloud powers innovative solutions such as Phillips Healthsuite, a platform that manages health care data and provides support for doctors as well as patients. The Philips HealthSuite digital platform analyses and stores 15 PB (peta bytes) of patient data gathered from 390 million imaging studies, medical records, and patient inputs to provide health care providers with actionable data, which they can use to directly impact on patient care. This is reinventing health care for billions of people around the world. As we move through 2015 and beyond we can expect to see cloud play even more of a role in the advancement of the field of patient diagnosis and care.
Cloud enables secure analytics. With analytics enabling so many new areas, from online shopping to health care to home automation, it becomes paramount that the analytics data is kept secure and private. The deep integration of encryption into the storage and in the analytics engines, with users being able to bring their own encryption keys, ensures that only the users of these services have access to the data and no one else.