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antino

What's the impact of fintech on banking industry?

May 22, 2024 By Aditya Pranav In Antino
Are you aware of the fact that India’s overall fintech market opportunity is estimated to be $1.3 Tn by 2025, growing at a CAGR of 31% during 2021-2025? This one statement paved the way for the FinTech revolution in India and is still growing… In just a few years, the emergence of fintech-powered technologies has revolutionized the financial sector, affecting how both large and small firms deal with their finances and transactions.
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antino

A Ride Towards the Successful Bike Taxi App Development

May 22, 2024 By Vinay Krishna Gupta In Antino
Bike-Taxi Apps: Hailing as the powerful giant who emerged to take control, take charge, and change the commutation landscape! But are you aware of the rising popularity of bike taxi app development? According to GlobeNewswire, the market for online taxi services will increase from $34.82 billion in 2022 to $38.54 billion in 2023, growing at a 10.7% CAGR. Actually, we are talking about way ahead of 2023.
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InsightSoftware

The Rise of AI in FP&A: How insightsoftware Empowers Your Team

May 21, 2024 By InsightSoftware In InsightSoftware
Despite the transformative potential of AI, many financial planning and analysis (FP&A) teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments.
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iguazio

LLM Validation and Evaluation

May 21, 2024 By Alexandra Quinn In Iguazio
LLM evaluation is the process of assessing the performance and capabilities of LLMs. This helps determine how well the model understands and generates language, ensuring that it meets the specific needs of applications. There are multiple ways to perform LLM evaluation, each with different advantages. In this blog post, we explain the role of LLM evaluation in AI lifecycles and the different types of LLM evaluation methods. In the end, we show a demo of a chatbot that was developed with crowdsourcing.
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Event-Driven Microservices in Banking and Fraud Detection | Designing Event-Driven Microservices

May 21, 2024 By Confluent In Confluent
How do we know whether Event-Driven Microservices are the right solution? This is the question that Tributary Bank faced when they looked at modernizing their old fraud-detection system. They were faced with many challenges, including scalability, reliability, and security. Some members of their team felt that switching to an event-driven microservice architecture would be the magic bullet that would solve all of their problems. But is there any such thing as a magic bullet? Let's take a look at the types of decisions Tributary Bank had to make as they started down this path.
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smartbear

SmartBear Introduces HaloAI, Transforming Software Development and Test Productivity with AI Technology

May 20, 2024 By SmartBear In SmartBear
SmartBear HaloAI is already delivering results in beta: shatters test times by 98% in the first 2 weeks with Zephyr Scale; automates half of QA tests, saving 20 hours per regression cycle.
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Koyeb

Best LLM Inference Engines and Servers to Deploy LLMs in Production

May 20, 2024 By Alisdair Broshar In Koyeb
AI applications that produce human-like text, such as chatbots, virtual assistants, language translation, text generation, and more, are built on top of Large Language Models (LLMs). If you are deploying LLMs in production-grade applications, you might have faced some of the performance challenges with running these models. You might have also considered optimizing your deployment with an LLM inference engine or server.
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snowflake

Snowflake Arctic Cookbook Series: Instruction-Tuning Arctic

May 16, 2024 By Snowflake AI Research In Snowflake
On April 24, we released Snowflake Arctic with a key goal in mind: to be truly open. In line with that goal, the Snowflake AI Research team is writing a series of cookbooks to describe how to pretrain, fine-tune, evaluate, and serve large-scale mixture-of-experts (MoEs) such as Arctic.
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