Emerging Technologies: Leading the Technology IP Creation Bandwagon for India
“Emerging Technologies: Leading the Technology IP Creation Bandwagon for India” provides an understanding to accomplish an understanding of the patent landscape filed by India domiciled companies in the US across domain areas
Global Capability Centers: Leadership Capabilities for Digital 2020+
Discovering leadership-capable talent and building leadership succession plans are challenges not unique only to the global capability centers (GCCs) of India. Complexities, however, increase in the GCC operating context due to restricted access to customers, invisible front-line strategies, and misaligned global corporate plans, particularly in scenarios with
- Rapidly-evolving scale and speed of digital transformation
- Embryonic technologies adding to complexity of change
- Complex leadership challenges, beyond the usual skill, will, and ownership subjects
Start-up Catalysts – Incubators & Accelerators
report underlines the current scenario and growth of incubator and accelerator ecosystem in India. It covers various programs hosted by variety of operators and their key highlights. The study has analysed various key performance indicators for all programs to find their focus areas. It also provides key recommendations for all stakeholders to achieve specific targets by 2025.
Facebook-Reliance Jio Deal Analysis – The Birth of Digital Payments 2.0?
With more than half a billion internet subscribers, India is one of the largest and fastest-growing markets for online consumers, but adoption of online payments is uneven among businesses, regions, and sectors. India as a digital economy has certainly seen an upswing in the recent few years as a result of demonetization, launch of UPI based online payments, Aadhaar enabled digital payment system, etc., but it has still a long way to go. The recent Facebook-Jio deal can be a huge catalyst in India’s story of digitization with its’ key focus on hyperlocal digital commerce, expanding to tier 2 & 3 cities and even rural areas.
Jio Platforms – Silver Lake Deal Analysis: A Step Closer to Digital Economy 2.0
US private equity firm Silver Lake announced an investment of USD 747 million (INR 5,655.75 crore) in Jio Platforms for a 1.15% stake on 4th May 2020, striking a deal with Jio less than two weeks after Facebook’s investment into Jio Platforms. The deal values Jio at $65 billion – a 12.5% premium to the value indicated by Facebook.
Indian FinTech Ecosystem: Key Challenges and How to Deal With It!
India’s financial technology sector moving at a fast rate is expected to touch US$ 2.4 billion by the end of 2020. The sector still faces a lot of challenges such as lack of indulgence, adoption, uncertainty in regulation, data privacy and risk, and lack of awareness. So, what are the measures that need to be taken to mitigate these challenges.
Can Fintech revolutionize the Indian banking industry?
Boosted by the growth of start-ups, Fintech has taken center stage in India. However, it is yet to be seen how this disruptive technology would affect the banking sector in the long run. Digital platforms, mobile, internet banking, and payments bank have revolutionized the sector in a substantial way. “The Digital India Moment” has also given the much-needed impetus to the digitization efforts in the banking sector.
5 Mega trends of the Techade?
NASSCOM Community President Debjani Ghosh announced that, “It’s imperative to ensure its India’s decade or Techade”. The next decade in India will be dominated by the new Tech world thanks to the 5 mega trends: Asian Economic Eminence, Mass Urbanization and Hyper-Personalization, Environmental Sustainability Stress, Date Led Economy and Disruptive Future of Work. In addition to this, other rapidly evolving digital technologies such as Big Data Analytics, Cloud Computing, Cybersecurity, Artificial Intelligence, Internet of Things, 3D Printing, Robotics, Blockchain, and Immersive Media can create opportunities upto USD 33 trillion.
Top 5 Reasons to Move Enterprise Data Science Off the Laptop and to the Cloud
It is touted that laptop data science could be dead in the age of Cloud Computing. The fastest and cost-effective way to get started with data science and machine learning on the cloud is to use a cloud-native data science and machine learning platform. Top 5 reasons for moving to cloud:
- Enterprise Data Science Is a Team Sport
- Big Data Beats Smart Algorithms
- Focus on Data Science Rather Than Managing Infrastructure
- Data Accuracy and Model Auditability
- Delayed Time to Value
What Does the Rise of Video in the Enterprise Mean for Data Storage?
Enterprises are increasingly building video into their core technologies and products. From learning solutions to healthcare software, to collaboration platforms—video is almost everywhere. What could be the reason behind such a shift? The market is expected to grow from USD 13.5 Billion in 2018 to USD 19.8 Billion by 2023, at a Compound Annual Growth Rate (CAGR) of 7.9% during the forecast period.