We live in a data-heavy world, and it will keep getting heavier in the future. With this copious amount of data piling us in our storages, the demand for data scientists tools is rising parallelly. We see many data scientists working across verticals, wrangling data to empower organisations with data-driven solutions for their fundamental problems and limitations. Data scientists play a critical role in the digital age to build schemas, models and metrics with a blended knowledge of computer programming, mathematical skills, logical problem-solving, statistics and more.
But towards 2022, new technologies are emerging, and the need for data scientists or being locked into data experts is slowly dying with new technologies that promote self-reliant data analysis, processing, interpreting and storing. Today we will be focusing on a few impactful data science technology trends that will disrupt the data governance and management cultures of 2022.
But towards 2022, new technologies are emerging, and the need for data scientists or being locked into data experts is slowly dying with new technologies that promote self-reliant data analysis, processing, interpreting and storing. Today we will be focusing on a few impactful data science technology trends that will disrupt the data governance and management cultures of 2022.
Why is Data Science so Important?
Data science is phenomenal to any data-centric organisation- in the new age, that would mean all organisations. Despite your commercial or industrial establishments, optimal manipulation of data is priceless, and it will promote your business value, stability in future markets and help your organisation gain momentum in the journey towards the leading edge. Organisational data can no longer be stored in gigabytes but terabytes or even petabytes. The importance of data science has never been heard louder in 2021; here are some reasons why data science is essential:
- Business stakeholders can use data science models to build futuristic roadmaps and trajectories that define the growth and means of success with facts and figures rather than estimations.
- Data science gives meaning to data; without being read and analysed, data means nothing, and it bears no quality or actionable meaning.
- Data science leverages the power of AI, ML and deep learning algorithms to create better business environments- faster operation, better client experiences and holistic control and transparency of end-to-end business ecosystems.
- Ensure seamless integration, thus assuring real-time business intelligence utilisation
- Favours all business departments and functions by interpreting complex and consolidated data to facilitate all decision-making processes
- Improve data security and privatisation approaches by enabling controlled data transparency only for permitted parties and encrypt data on the fly for better data protection
- Vertical usages of data are promoted by data science technologies, which opens doors for better integration and more innovative opportunities. It even predicts that the future is data-driven.
7 of The Most Impactful Data Science Trends That Will Disrupt 2022
Blockchain Technologies
The FinTech industry went through a vast change with the advantage of Blockchain Technology, and it will be significantly impacting the data science trends of 2022. This technology has contributed to optimising the decentralisation of ledger that makes big data management more structured and easier. This also facilitates data scientists to analyse data from disparate locations rather than one static location. Additionally, it helps the data scientists to validate data faster and structure data processes based on critical events and execute mission-critical data workloads in a faster and prioritised manner.
Deepfake Trends and Synthetic Data
Another data science trend that is criticised by most realists and social activists is deepfake technology. Even Though it is deemed a threat to many political and entertainment platforms, this technology will be used in 2022 too. It uses generative AI to make new content from existing content; this is where you come across applications that allow you to add your face to famous movie scenes.
Even Though it is an element of entertainment, it jeopardises the privacy concerns of real people who are in the original content and people who will be represented in the new content. This will give light to synthetic data, which will be collected in the digital universe of images and videos of people who do not exist. But with the social media trends, this data deforming trend will still be used in 2022.
Even Though it is an element of entertainment, it jeopardises the privacy concerns of real people who are in the original content and people who will be represented in the new content. This will give light to synthetic data, which will be collected in the digital universe of images and videos of people who do not exist. But with the social media trends, this data deforming trend will still be used in 2022.
Meet The Industry 4.0-defined Data Future
All technologies that were addressed by the industry 4.0 definition will be widely used and generalised in the business technology world. Businesses will use edge and blockchain intelligence, engineer data-rich digital twins, adopt simulation platforms, use the power of AI and ML and more. Big data on the cloud would be manipulated by better and well-trained data science models to promote the scalability, reliability, flexibility of the organisation. With the use of IIoT data systems, many smart and integrated technologies facilitate all industrial and commercial establishments around the world, and they embrace hyperautomation, automated data cleaning, natural language processing, AutoML and more.
Mission-critical Data-driven Decision Intelligence
It is estimated by Gartner.com that more than one-third of large organisations will employ analysts that are proficient in decision intelligence techniques in the year 2023. Therefore in 2022, advanced decision modelling tools powered by smart disciplines will be trained to promote cognitive and intuitive decision making using technology. Data-driven companies will hire data engineers to develop, augment and improve decision models to meet the unique decision-making demands of their organisations. This technology helps data-dependent organisations to leverage modelling technologies with logical and mathematical schemas to semi-automate or fully-automated decisions based on realistic events.
Multi Clouds are Taking Over The Business World
Cloud computing and the utilising of cloud-native repositories will be advanced from hybrid cloud platforms to multi-cloud platforms that integrate public and/or private clouds to enable the best benefits. This technology is already utilised by many enterprises, and it will remain to allow the businesses of 2022 to automate cloud computing services to leverage AI and ML powers optimally. This technology bolsters the resilience of cloud platforms to succumb to threats, delays and risks due to the outbreaks of a single cloud service provider. Instead, they will be able to amalgamate cloud services to ensure data security, seamless data-based operations.
Python Will Not Be Outperformed
It is not an alarming fact that Python will remain the most-favoured variety of programming languages of data scientists and analysts even by 2022. Python programming is much easier to learn, write and read, for it is high-level programming that uses English-like syntax. There are many other advantages of this programming language, like compatibility with a wide range of libraries, being free, open-sourced, portable, interpretable and more. Therefore, this programming language is engraved on stone as a go-to language for advanced machine learning, natural leaving and deep learning solutions.
The Wide Usage of Quantum Computing
In 2022, Quantum Computing will be plucked from research articles and applied to real-world industrial technologies. This technology is highly recognised by google, where decisions are not made by analysing 1s and so anymore by manipulating quantum bits with a specialised processor called Sycamore- a technology with the potential to resolve complex problems in just 200 secs. Even though it is in its early stages, it will be used to solve a lot of business inefficiencies by understanding hidden relationships between models and integrating data better for supercharged insights.
Why Will Cerexio be An Unrivalled Data Science Technology Enabler in 2022?
Cerexio offers the best data solutions with leading-edge data solutions, platforms and the needful training and consultancy services required by data-centric organisations that are ready to thrive in 2022. Cerexio data technologies are admired and utilised by data-heavy industrial players around the world. We are the experts in connecting your business components to data at a single point and help you improve yield, accelerate success journeys and mitigate your mission-critical efforts with the power of advanced data technologies. Connect with Cerexio to learn why we are resilient big data experts who are competent in transforming your business to be seamlessly integrated, smarter and efficient constantly.
Is Your Data-driven Organisation Ready to Face 2022?
Everybody stores data, but in the new age, the problem arises in how you store it and capitalise on it. Starting from punch cards, magnetic drums and magnetic tapes, data is now stored in a digital universe (that withholds 2.7 zettabytes, and the number keeps swelling every passing day. With millions of leading organisations making good use of this data, your organisations should also start investigating how to graph AI and ML algorithms and train them to imperative the decision-making initiatives of your organisation.
Your organisations must be equipped with unfaltering data platforms and tools to comb through thousands of data-heavy sources and documentations to discover factors that cause negative outcomes and promptly prescribe treatments to those problems. Evaluating these opportunities can help your organisation build a healthy data culture with the required skills and technologies to remain resilient in the disruptive business world of 2022. So we wish you a very happy new year and good luck with entering another year of data-driven experiences.
Your organisations must be equipped with unfaltering data platforms and tools to comb through thousands of data-heavy sources and documentations to discover factors that cause negative outcomes and promptly prescribe treatments to those problems. Evaluating these opportunities can help your organisation build a healthy data culture with the required skills and technologies to remain resilient in the disruptive business world of 2022. So we wish you a very happy new year and good luck with entering another year of data-driven experiences.
