Uses of AI
Uses of AI: How Artificial Intelligence Can Tackle Climate Change

Artificial Intelligence (AI) is responsible for a lot of changes in the way we perceive technology and lifestyle. Development in the field of AI and Machine Learning (ML) is promising, with applications that are continuously redefining the way we interact with our devices, people, and the planet. An...

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Azure Data Factory
How Azure Data Factory Organizes Enterprise Big Data Workflows

Enterprise IT adoption is on the rise, and cloud data platforms are gaining prominence across diverse verticals and industries. When dealing with large amounts of data, companies need a robust framework to manage information and derive value from it. Investing in advanced cloud technologies and data...

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Guide to Multi-cloud Computing
A Beginner’s Guide to Multi-cloud Computing

Multi-cloud design is the preferred cloud computing environment for enterprises today. By leveraging the unique benefits of a multi-cloud strategy, businesses can combine resources from different cloud service providers to create a smooth omni-channel experience. The multi-cloud design enables flexi...

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MVP Development
How to Build a Minimum Viable Product (MVP): A Detailed Guide

Almost all Software-as-a-Service (SaaS) businesses start with a “visionary idea” – a concept that can revolutionize the industry. Yet, the world has witnessed numerous passionate founders invest their energy, time, and money in a product that solves a problem that nobody cares abou...

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Financial Data Analytics
3 Ways Snowflake Accelerates Financial Data Analytics

FinTech is transforming the financial services sector with effective data management systems. A highly responsive data architecture provides a competitive advantage for FinServ companies to perform better. As Pharma uses data science to compute successful medicine combinations, FinServ uses data to ...

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Hybrid Remote Software Product Engineering Team
Engineering Leadership: How to Manage a Hybrid and Remote Software Product ...

“The most efficient and effective method of conveying information to and within a development team is face-to-face conversation.” (Agile Manifesto) After two decades and a year-long global pandemic, business leaders are now considering new possibilities to run a software product engineering team...

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Digital workplace solutions
5 Emerging Technologies to Power Digital Workplace Solutions in 2022

Imagine your current workplace 10 years into the future. Undoubtedly, technology will influence the nature of work, dynamics of the workforce and the idea of a workplace. If you haven’t already noticed, digital transformation is on the agenda for every business in 2021. Digital workplace solutions...

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Agile Digital Transformation,
Align Your Software Product Engineering for the Success of Your Business

For several decades, software product engineering has been ruling the market. Companies keep pushing out improvement programs to take over the industry by storm. But the success of these products seems like a far-fetched idea if not done strategically. The data and market research firm, Nielsen,...

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Agile digital strategy
Build an Agile Digital Strategy based on these 5 Principles

Data-driven decisions are at the core of every modern enterprise growth strategy. To compete in your industry, you need a reliable and agile digital strategy that harnesses the power of cutting-edge technologies and comprehensive data modelling. What is Agile Digital Transformation? Agile dig...

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on site vs remote vs hybrid workplace
On-site work vs Remote work vs Hybrid workplaces: Pros and cons

Enterprises are discovering new avenues for growth and opportunity because of digital transformation. More industries are adopting digital workplaces and hybrid models to create a more flexible and self-sufficient workforce.   Especially during the COVID-19 pandemic, digital workplaces ...

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Top use cases of AI in insurance industry
Top 6 Use Cases of AI in Insurance Industry

The insurance industry is a kind of industry that is under constant pressure to improve and evolve to stay relevant in business. This industry is based on everyday activities which involve huge data and its evaluation. A complicated assessment of data is required each day on a large scale for this i...

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Data platform modernization
Five reasons why data modernization is no longer a choice.

With a booming business, data management could be a challenging task to maintain and use efficiently. With traditional ways of collecting and managing data, it could take weeks or even more before anyone can get any insights. Generally, for producing any report, huge data must be reviewed...

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