Digital Transformation in 2019 = Artificial Intelligence + Big Data + IoT

digital transformation, artificial intelligence
© Daniil Peshkov

Companies have started to use innovation and digital transformation to differentiate themselves and to stay competitive

This lead to dramatic growth in cloud computing over the past years. Organisations are innovating and leveraging the latest technologies simply to stay in the business world. Generally, all organisations implement online retail, banking, and other services but among all most priorities are for online services as they are becoming the primary revenue channel.

Big Data Companies are working quickly to review and analyse their processes and seize opportunities for digital transformation; to understand their current processes to make use of technologies like the Internet of Things, Big Data Analytics, and Artificial Intelligence etc. to adapt them on existing processes. There is no doubt that the cloud infrastructure provides the best of support to compute power, storage, scale, and speed.

Companies that plan for massive growth and transformation are usually the ones that invest in technology to support innovative ideas and advancements in digital space with a solid cloud strategy accompanied by agile development processes and ideas.

These ideas usually remain on papers but in today’s context, digital and cloud are most inseparable due to the robust infrastructure, services, and tools to support digital initiatives. The ultimate goal is to provide a high-level overview of the digital landscape and discuss how cloud providers help enterprises with such latest technologies.

Big Data Analytics

With the potential increase of the internet and social media, we also see the growth of massive data across the globe. According to the big data analytics companies, there is about a hike of data every day with different data of data, i.e. structured or unstructured.

Organisations are relying on data warehouse and BI applications to help make important data-driven business decisions. Different types of data such as audio, video or unstructured data are organised in strict formats to help identify then patterns from the bulk of data for making future decisions.

The ability to scale vertically and horizontally of the cloud platform makes it ideal for Big Data hosting and analytics as the vertical scaling increases the capacity of a server by adding resources needed by applications. Horizontal scaling allows businesses to expand your hardware resources as per increases in processing requirements.

Internet of Things

The network of connected devices such as security sensors, surveillance cameras, smartphones, wearable devices like smartwatches and household appliances have that ability to communicate and transfer data over the network without direct human interaction. Not only does this empower the customers by providing greater control of household systems and appliances but also provides greater insight into critical areas of business interest by opening doors for innovative products and solutions.

IoT also faces challenges with more devices connected to the internet, the volume of data generated is getting immense. This puts pressure on internet to create a need for an infrastructure that can transmit and store this data more efficiently. There is always a push to create edge devices that are intelligent enough to perform some data processing and send this results to servers instead of sending massive data amount to central servers for processing.

Artificial Intelligence

Digital revolution revolves around the mass production of computers and communication devices and changes the way businesses have been operated over the last several decades. This results in constant improvements in every possible area ranging from generating new ideas for products and services to innovative product designs for improvised customer experience.

AI systems try to mimic the human brain which utilises patterns to generate perceptions and drive logic, for the structured approach of analysing the situation from a rational perspective. The cloud plays a crucial role in enhancing the power of applications that incorporate AI, by using services that use powerful cognitive engines to process structured and unstructured data. The pattern-matching algorithms and logic components build such cognitive engines which are highly sophisticated and powerful.

Building such GPU-based parallel processing engines and implementing them on premise is expensive and resource-intensive. The cloud helps to address his problem by providing APIs to access machine learning services by providing a complex infrastructure that combines the power of clusters of compute engines, neural networks, and data lakes.

Exciting times ahead

Technology has always been a major driver in any business where companies need to integrate technology effectively to succeed or even sustain their place in the marketplace. Digital transformation including this 3 main technology is becoming a key requirement for organisations to be innovative and remain competitive. Nowadays, it is must-have for any digital or aspiring digital organisation to have a digital business goal alongside technological choices for a customised transformation strategy.

We can conclude that opportunities are almost everywhere in every industry. The combination of leveraging IoT, generation of big data and predictive analysis by AI will unleash amazing ideas and opportunities.


Charles Richards

Business Analyst, Writer

TatvaSoft UK



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