According to recent studies, enterprise mobility has become a top priority for approximately 70% of companies — and this is only increasing thanks to the increasing amount of available data, resulting in a change in work habits globally. According to Nasscom, the market is expected to develop further and reach a value as high as $140 billion per year in a span of next three to four years.
As an evolving technology, much of its success — or failure — will depend on how well enterprises are able to accept new trends and face challenges. Consequently, you must have a futuristic insight regarding the development trends of 2017.
There has been a recent shift in how app developers... well, develop, as they are creating apps for both internal and external use. In fact, it wouldn’t be wrong to say mobile applications are slowly being replaced with smart intelligent apps.
Growing Popularity of BYOD (Bring Your Own Device)
BYOD culture has become increasingly popular in 2017. One big advantage is that it increases the productivity of using mobile apps, which reflects in the business revenue.
Along with this comes certain challenges. For example, employees’ devices may lack enterprise-level security, posing a threat to an organization’s data. As a result, it becomes difficult for IT departments to manage all employee devices. In fact, even mobile device management (MDM) destructs the flow of work.
One way in which this can be dealt with is to have a mobile strategy that offers security to all employees' devices. Another way would be to integrate the management of mobile devices into personal device management. While doing so, ensure that confidentiality of the employee is maintained.
Migration to Cloud
One of the most visible trends is the increasing migrations of large data to Cloud. Owing to the improvements in services offered by Cloud as compared to last year, more companies are considering this migration. This has enabled facilities like access to budget friendly Cloud services and data security. It has been seen in the past most companies settle down with hybrid apps for security reasons. Allowing hosting of crucial apps on premises and other apps on Cloud.
Artificial Intelligence Making a Significant Impact
Artificial intelligence (AI) is defined by a number of technologies like voice recognition, natural language processing, and image processing. These technologies use an advanced algorithm, computation power, and advanced methods like machine learning to perform functions. In order to use AI to its maximum potential, we must ensure that the data and analytics applied to AI produce dependable and accurate insights.
AI has made a significant contribution to the world of computing with smart apps taking away the limelight. Smart apps or intelligent apps at the enterprise level have a wide range of possibilities, including the use of Siri or Google Now for controlling security systems and process flow.
Additionally, artificial intelligence will benefit the financial services sector the most, as they are dealing with large amounts of data that needs to be analyzed for customer behavior or fraud. It helps provide insight on what kind of financial advice should be given to customers.
Another industry to benefit from AI is healthcare, where it is used to improve discovery, diagnosis, and patient engagement.
For an effective AI strategy, organizations must establish a data-driven culture as a second language. It may also impact in the areas of talent sourcing, skills development and training, organizational structure, analytical methodologies, analytical tools, data acquisition and monetization, algorithm acquisition/creation, analytical modeling, analytical model training and maintenance, and process adaptation.
Along with this, organizations can start investing in employees to develop their creative and analytical thinking skills, as AI implementations will require both.