Accountability Big data Blog Engineering 
AWS Machine Learning
FEBRUARY 13, 2024
In our entire partnership, AWS has set the bar on customer obsession and delivering results—working with us the whole way to realize promised benefits.” – Keshav Kumar, Head of Engineering at BigBasket. About the Authors Santosh Waddi is a Principal Engineer at BigBasket, brings over a decade of expertise in solving AI challenges.
AWS Machine Learning
JANUARY 26, 2024
The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.
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AWS Machine Learning
JULY 24, 2023
This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. get_caller_identity()['Account'] region = boto3.Session().region_name
SmartAction
NOVEMBER 4, 2020
It’s also why these same transcription-based engines like a Google or Amazon don’t deliver a good enough customer experience at the contact center level, because they are now 50% less accurate. And, if that wasn’t bad enough, it adds noise. This is why conversational AI over telephony is a really difficult challenge.
REVE Chat Blog
FEBRUARY 12, 2020
A chatbot is the best channel banks can use to automate their simple and routine tasks (knowing account balance, outstanding credit card amount, how to change the address, etc.) In-app chatbots can access user account details and provide completely personalized information and help or even financial advice based on data. .
AWS Machine Learning
NOVEMBER 17, 2022
As data is growing at an exponential rate, organizations are looking to set up an integrated, cost-effective, and performant data platform in order to preprocess data, perform feature engineering, and build, train, and operationalize ML models at scale. In this post, we demonstrate how to implement this solution.
Avaya
DECEMBER 6, 2016
Whether you realize it or not, big data is at the heart of practically everything we do today. In today’s smart, digital world, big data has opened the floodgates to never-before-seen possibilities. To effectively apply your data, you must first determine what you wish to achieve with your data in the first place.
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