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Raghav Bharadwaj

Raghav serves as Content Lead at Emerj, covering our major industry areas and conducting research. Raghav has a personal interest in robotics, and previously worked for research firms like Frost & Sullivan and Infiniti Research.

Articles by Raghav

30 articles
compliance in banking

AI for Compliance in Banking – Where Banks Should Focus Next

In the banking sector, supervisory organizations create and oversee the compliance rules that banks and other financial organizations need to follow. These compliance regulations are important for companies to carefully abide by, since non-compliance can potentially result in large fines or in extreme cases, even loss of banking licenses.  Compliance regulations are also subject to […]

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Artificial Intelligence in Cybersecurity - What's Possible Today

Artificial Intelligence in Cybersecurity – Current Use-Cases and Capabilities

AI has made some inroads in the cybersecurity sector and several AI vendors claim to have launched products that use AI to help safeguard against cyber threats. At Emerj, we’ve seen many cybersecurity vendors offering AI and machine learning-based products to help identify and deal with cyber threats. Even the Pentagon created the Joint Artificial […]

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Maximizing a Small Data Science Team with AutoML

The financial services sector has been one of the early adopters of data science and AI technologies. That said, financial firms that have engaged in AI projects will have realized that they require a deep understanding of data management and skilled data science professionals to solve these complex problems. Additionally, AI projects are highly capital […]

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Voice and Speech Recognition in Banking - What's Possible Today

Voice and Speech Recognition in Banking – What’s Possible Today

Speech recognition is an AI technology that can allow software programs to recognize spoken language and convert it to text. A subset of speech recognition is voice recognition. Voice recognition is an AI-enabled capability that enables a software algorithm to match the identity of a customer to their voice.  There have been some studies that […]

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Sentiment Analysis in Banking - Current Use-Cases

Sentiment Analysis in Banking – 4 Current Use-Cases

Our sector-wide research suggests that natural language processing (NLP) is one of the more common AI approaches in banking AI use-cases today. Sentiment analysis is a capability of NLP which involves the determining whether a segment of open-ended natural language text (which can be transcribed from audio) is positive, negative, or neutral towards the topic […]

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Artificial Intelligence For Risk Monitoring in Banking

Artificial Intelligence For Risk Monitoring in Banking

Investment in AI by banks and financial institutions for risk-related functions such as fraud and cybersecurity, compliance, and financing and loans has grown dramatically in the last half-decade compared to customer-facing functions. We recently launched our AI in Banking Vendor Scorecard and Capability Map report, our largest report on the state of artificial intelligence in […]

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AI and Alternative Data for Quantamental Investing

AI and Alternative Data for Quantamental Investing

AI and machine learning have had successful applications in the financial sector even before the entry of the mobile banking ecosystem. AI is being used to leverage insights from data for financial investing and trading, wealth management, asset management, and risk management. Investors and financial advisors have relied on the existing information they have about […]

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AI Hardware - Businesses Are Considering More Than Just Performance

AI Hardware – Businesses Are Considering More Than Just Performance

AI hardware is a fast-growing interest among tech media, and there is a lot of opportunity for computer hardware developers when it comes to building chipsets for AI. That said, margins for AI chipsets can differ wildly depending on the use-case for which they’re being built. Despite this, enterprise customers looking for AI hardware are […]

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AI Search Applications in Finance - Insights from Customer Interactions

AI Search Applications in the Financial Sector – Insights from Customers Interactions

The financial sector has been an early adopter of AI. It is likely that the use of algorithms in trading and the fact that most large financial firms already have teams of software developers aided the transition into data science and AI applications in the industry. The advent of other AI use-cases in finance, such […]

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How Natural Language Processing Will Impact Brick-and-Mortar Banking

How Natural Language Processing Could Impact Brick-and-Mortar Banking

In recent years, there seems to be a sense of urgency for banks to go digital and expand into new communication channels. In ten years time, physical brick and mortar banking might not be the preference of the majority of customers. To attract younger millennial customers, banks seem to be realizing the need to understand […]

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