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Author: Naveen Joshi

Machine Learning in Cybersecurity The cybersecurity industry has always been under constant strain from malware and cyber criminals. However, due to recent breakthroughs in machine learning and AI-enabled technologies, the cyber-security industry is no exception; security solutions are able to scale and automate their processes intelligently.

by Naveen Joshi

With increasing integration of software services and hardware, into every aspect of our lives, the task of keeping data secure has now become more tedious. The arsenal of tools that…

IOTTechnology
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Leveraging digital technology for financial inclusion An estimated 2 billion working-age adults all over the world do not have an account at a formal financial institution. Financial inclusion efforts include delivery of financial services at an affordable cost to sections of disadvantaged and low-income segments of the society. Using digital technology in finance can result in successful financial inclusion efforts.

by Naveen Joshi

Financial inclusion is ensuring that all households and business organizations, regardless of income level, have access to appropriate financial services they need to improve their lives. Currently, the poor or…

FintechTechnology
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How to prioritize domain analytics within your organization Domain analytics refers to the collective set of analytics that are applied across all industry verticals and business processes. Data and analytics leaders should optimize their domain-specific capabilities for achieving success in their industry.

by Naveen Joshi

Even though analytics is becoming ever more pervasive, in several organizations, most of it is still carried out in isolation across business domains. This has given rise to the requirement…

Big DataDigital Business
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Designing data lakes – key elements to consider Business users now require new and innovative ways for using data for operational reporting and implementing advanced analytics. Data lake is an advanced next-generation data storage and management solution, which was developed to meet the ever-evolving, needs of increasingly enterprise users. Thus, considering its importance, businesses are required to understand the designing of a data lake.

by Naveen Joshi

Customer requirements are constantly evolving, and along with advances in data storage technologies, the current enterprise data warehousing solutions are proving to be inadequate. Businesses dealing with advanced analytics require…

Big DataIOT
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Best practices in machine learning There is a huge potential to reduce costs and generate new revenue by applying machine learning correctly. Application of machine learning effectively helps in solving practical problems within an organization. Organizations must, therefore, learn about the best practices in machine learning and ensure its proper implementation.

by Naveen Joshi

Machine learning has given rise to several practical applications that fulfill real business interests such as saving time and money. Machine learning has the potential to dramatically impact the future…

IOTTechnology
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In-memory computing in finance In-memory computing has the ability to transform business IT; enabling companies to crunch and analyze large volumes of data in near real-time. It involves storing data in the main random access memory (RAM) of specialized servers instead of storing data in complex relational databases running on relatively slow disk drives. In-memory computing in finance empowers banks, retailers, and other financial institutions to analyze huge volumes of data on the fly and detect patterns quickly.

by Naveen Joshi

In the old days, organizations used to produce plans for the future and then report on a quarterly basis about how they were performing against that budget or plan. Today…

FintechTechnology
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