Emerging Technologies – Age of Moving Faster.
Think back just a few years — social, mobile, cloud, and big data ruled the emerging technology landscape. Business and technology management executives wondered what big data meant, when the cloud would disrupt their companies, and how to engage effectively on social channels. In 2016, Hadoop turned 10, the cloud has been around even longer, and social has become a way of business and life. So, what’s next?
Emerging technologies are closely associated with the future of knowledge work because they play key roles in shaping and transforming how knowledge work will be conducted and how companies in various industries will have to adapt and in some cases, rethink their business model end-to-end.
For an insight let us navigate ourselves through few of them:
Emerging technologies like Artificial Intelligence, Computer Vision, Robotics, Blockchain
The advancement of machine learning and other techniques in artificial intelligence are giving businesses and their development teams the opportunities to design data-driven applications that can recognize patterns to become sufficiently “cognitive” to reduce and even automate repetitive manual work. The availability of both proprietary and open data has allowed software engineers and data scientists to use a portion of the available data to train mathematical and statistical models that can predict most likely scenarios or outcomes for a given set of parameters and external inputs.
Over time, the feedback loop generates more data and provides more real-world scenarios to the algorithms in the models. This in turn refines the models to become more accurate and efficient in improving or automating repetitive workflows and tasks.
While artificial intelligence makes the machines and systems smarter by consuming data to train algorithms and build models that could mimic real-world scenarios and think like humans, blockchain improves and automates workflows through its unique way of processing, storing, sharing immutable transactional information in a distributed peer-to-peer network.
Emerging technologies: Advanced Computing, Deep Learning, biometrics, IoT
In the digital age where every organization is a digital company, digital identity is the building block to understand current customers, future customers, and how they are related to each other and to other organizations.
Digital identity, at its core, is a machine-readable dataset of attributes that describe a person, an organization, a place, a physical asset large or small.
Emerging Technologies: Big Data Management, Data Analytics, Data Visualization, Machine Learning
As mentioned, every organization is a digital and data company, but meanwhile not every company has the expertise, capability, and resources yet to use advanced analytics to extract value from all of the internal and external data to generate greater actionable business insights. Advanced analytics is an end-to-end solution with tools from data management to visualization to predictive modelling.
Image below shows an integral path ahead on multiple emerging technologies and their supporting tools to keep an eye on.