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The EdTech industry is flourishing like never before with the consistent flow of digital transformation in the education system. TalentSprint is a global EdTech company and is part of the prestigious National Stock Exchange (NSE) group. It brings transformational high-end and deep-tech learning programs to young and experienced professionals. Its proprietary digital platform, ipearl.ai offers a hybrid learning experience to seekers of deep technology expertise. TalentSprint partners with top academic institutions and global corporations to create and deliver world-class programs, certifications, and learning outcomes. Analytics Insight has engaged in an exclusive interview with K Sridhar, Chief Business Officer, TalentSprint.
We are a global edtech company and are part of the prestigious National Stock Exchange (NSE) group. We bring transformational high-end and deep-tech learning programs to young and experienced professionals. Our proprietary digital platform, ipearl.ai offers a hybrid learning experience to seekers of deep technology expertise. TalentSprint partners with top academic institutions and global corporations to create and deliver world-class programs, certifications, and learning outcomes. A few of our collaborations with top academic institutions of the country include IIT Madras, IIT Hyderabad, Indian School of Business, IIIT Hyderabad, IISc Bangalore, IIM Calcutta, etc offer world-class programs in deeptech, management, and leadership. We also partner with global corporations to deliver high-impact, cutting-edge programs to our learners. One of our flagship programs, WE for women engineers, is supported by Google.
Data has never been more precious than what it became during the post-pandemic world. Today, analogies can be drawn between data and oil. One knows that the explosion of big data has led to the theory that 'data' is the new 'oil'. According to a report, the global big data and business analytics market size was valued at $198.08 billion in 2020 and is projected to reach $684.12 billion by 2030, growing at a CAGR of 13.5%, from 2021 to 2030. Big data analytics is a major part of enterprises as it helps organizations manage, process, and streamline large datasets in real-time. Moreover, it also improves the decision-making capability of organizations.
The prime objective of big data and business analytics is to help organizations get a better understanding of their customers, in order to narrow down their targeted audience, thus improving companies' marketing campaigns. Furthermore, various industries are adopting big data and business analytics to analyze massive volumes of data generated due to offline and online trading. Moreover, the introduction of cloud-based big data and business analytics allows users to access all the information online, from anywhere across the globe. This helps various big data service providers to increase their investment in cloud technology and have a competitive edge over the competition.
Thus, it gives edtech firms an opportunity to nurture promising talents, build their expertise to reduce the growing gap. Computational Data Science has become a true catalyst for organizations in accelerating their digital transformation journey. Today, this field is continuously evolving, along with the imperatives and opportunities for Data Scientists. Over time, businesses are gradually realizing the value of being adequately skilled at data acquisition and analytics to move towards the next data wave successfully. Therefore, the demand for Data Scientists is relatively high followed by skills in AI and ML across industries.
TalentSprint's programs have always been about building expertise among serious professionals and bridging gaps. As tech companies metamorphosed into product and solutions-driven organizations, consequently the talent requirement changed from the traditional perspective. Our deep-tech programs are offered through world-class institutes like IIM Calcutta, Indian School of Business (ISB), IIT Hyderabad, IISc Bangalore, IIT Madras, IIIT Hyderabad, and IIT Kanpur (to name a few), and making such expertise available easily for the professionals by delivering on a proprietary platform, in an interactive digital and hybrid learning format. The format uniquely combines the benefits of an instructor-led in-class program with the flexibility of online delivery. The classes are carefully designed in an executive-friendly format for professionals to easily strike a balance between their work and classes. Certifications by the top academic institutions further add tremendous credibility and value. Moreover, learners also get valuable mentorship from alumni and placement assistance in some of our programs.
It is not just what you learn through the program, but also, what you learn from your peers. At TalentSprint, we ensure that each cohort is diverse in terms of experience, domain, and the organisation to which the participants belong. As a result, every class becomes learning for our program participants – both practically and collaboratively. We teach topics in the context of actual industry needs as covering a topic simply isn't quite enough in today's digital era. TalentSprint is committed to helping the participants master and gains expertise in different aspects of industry needs. The program is curated to help the learners confront practical issues with sheer dedication and thoughtful power of implementation.
To build a product, process data, and render crucial insights, the knowledge of Artificial Intelligence (AI), Data Science, Data Engineering, and Machine Learning (ML) are critical. Cloud is enabling access and processing data effectively while AI/ML are able to create insights. IoT is making devices smarter. Companies across industries are deploying, investing, or consciously planning to invest in AI and Emerging Technologies. These technologies are certainly the future of all complex decision-making processes.
The fundamental truth is that jobs that existed 5 years ago are on the verge of extinction. This trend is to continue and will hold true for all future jobs. Today's talent requirements are very different. The industry needs people who can adapt to the changing, dynamic requirements, look forward to exploring, and learn future technologies with interest.
The opportunities for analytical roles are constantly growing, contrary to the talent available. In the future, the selection is going to be based on computational thinking. Earlier, an engineering degree in computer science and coding knowledge was enough for getting placed in a leading tech company. Engineering graduates from other streams could also acquire roles under the IT framework.
But with the changing technological scenario, the industry is witnessing a gradual shift. Analytical, computational, and critical thinking skills are going to make a distinction between the two candidates. Those who are able to demonstrate such skills will be in high demand by modern-day recruiters and new-age organizations.
It is a good time for aspirants to leverage this wave of growing demand in Data Science and be at the forefront. However, they need to tap this well by equipping themselves with relevant expertise and not just learning. It's an excellent time to sharpen their skills and gear up for all the upcoming defining opportunities with Data Science. After this global pandemic, every industry is highly impacted by big data. One needs to invest in the right capabilities, which would span across all kinds of domains. Without the expertise, it would be hard to leverage what the future brings forth. Data scientists must use appropriate algorithms or potential modeling techniques to solve business problems, identify risk areas, and opportunities at hand.
Data Analytics is one of the most well-paid career options in the entire world. There is a high demand and never-ending shortage of Data Scientists. It is a versatile career option, which allows professionals to explore different opportunities. Gaining in-depth knowledge of practical application across fields, and exposure to dynamics, helps professionals enter the field of Data Science effortlessly. Among other disruptive technologies, Data Science and Analytics have undoubtedly taken a prime place in the industry. Storytelling and the ability to solve problems using data are quite critical. The ability to adapt to various things while keeping an open mind is a boon in Data Science and Analytics professions. Graduates who get a chance to work on Data Science projects will have a great start to their careers. In the last couple of years, companies have started hiring freshers for these roles. Essentially, learning Data Science with hands-on experience will open up opportunities in many emerging fields. Many top IITs offer certificate programs in these areas aligned to the industry requirements. According to the World Economic Forum, Data Science, Data Architecture, Data Analysis, and Data Engineering are on track to become the most favoured career path by 2022.
