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2 months ago | 
dataversity.net | Gaurav Belani
It is obvious how essential data security has become in the face of sophisticated cyber attacks. Companies need to continue to improve their processes and systems to protect sensitive information. While advanced cybersecurity technologies help massively, they can’t do it alone. Ensuring all-around safety requires the humans in the loop to work in tandem with machines. Both technology and humans have their unique strengths and weaknesses.
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Jan 22, 2025 | 
agilitypr.com | Gaurav Belani
With digital transformation strategies becoming the new normal in almost all industries, businesses across the world are adopting digital solutions to upgrade their processes and communication. PR is no different. After all, embracing digital technology is slowly but surely changing the way PR campaigns are implemented. AI (Artificial Intelligence) and ML (Machine Learning) are the two leading technologies that are transforming modern PR workflows.
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Nov 3, 2024 | 
datafloq.com | Gaurav Belani
Artificial Intelligence (AI) is one of the most popular terms of 2024. With the widespread popularity of tools like ChatGPT, the capabilities and applications of AI have been debated and pondered over more than ever before. Even then, an area of marketing that has already been utilizing and integrating AI is email marketing.
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Oct 24, 2024 | 
agilitypr.com | Gaurav Belani
There are many tasks that take a chunk of time and energy from marketing and PR teams. Things like following up with media publications, collaborating with influencers, and sharing campaign updates with a team member are time-consuming. Moreover, they also require attention to detail which can be tedious too. This limits the overall productivity of marketing and PR teams.
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Oct 2, 2024 | 
datafloq.com | Gaurav Belani
Emerging technologies are slowly but surely transforming various industries and helping them develop new capabilities. Artificial Intelligence (AI) may have been around for a while, but it is only in the last decade that the technology started transforming the financial industry to a large extent. Having said that, there is a lot of merit in understanding how AI and big data influence the financial services industry. But first, let us start by learning about the emergence of AI and Big Data.
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Sep 24, 2024 | 
globaltrademag.com | Gaurav Belani
A new age in the capital markets is expected to be ushered in by the development of generative AI, which has the potential to completely transform how we invest in, run, and value businesses. Read also: Top 5 Tips for Successful Online Stock TradingThe financial environment is about to change because of this technology, which includes models like OpenAI’s GPT-3 and GPT-4. It presents previously unheard-of possibilities for efficiency, accuracy, and innovation. What does the Data Says?
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Sep 19, 2024 | 
agilitypr.com | Gaurav Belani
Many people underestimate what it takes to be an effective product marketer. Not only do you need to wear many hats and keep a finger on the pulse of the market, but you also need to be a master storyteller, data analyst, and have the communication skills to continually prove the viability of your products (and marketing efforts) to stakeholders at each turn.But here’s the good news; every product marketing challenge has a solution.
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Aug 20, 2024 | 
dataversity.net | Gaurav Belani
Large language models (LLMs) are advanced AI systems designed to process and generate human-like text by training on extensive datasets. They excel in tasks ranging from translation and summarization to answering questions and writing content, effectively simplifying what used to be labor-intensive, complex interactions between humans and machines.
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Jul 2, 2024 | 
securityboulevard.com | Gaurav Belani
The rush to adopt cloud technologies can sometimes feel like sprinting towards a cliff's edge. Data breaches, compliance violations, overwhelmed teams - these troubling trends have become far too commonplace these days - especially when you consider that the cloud was supposed to make everything more simplified, streamlined and straightforward. Yet, this is not surprising when you consider the fundamental complexity and fluidity of cloud technology.
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May 28, 2024 | 
dataversity.net | Gaurav Belani
Most enterprises today store and process vast amounts of data from various sources within a centralized repository known as a data warehouse or data lake, where they can analyze it with advanced analytics tools to generate critical business insights. Modern data warehouse platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, and IBM Db2 are built with strong security measures to ensure that no prying eyes can glimpse the information held within.
