Maria Voronina, strategic planning manager at Chobani, and Steven Wengrovitz, head of research at Uber Eats, provide practical guidance on how you can use real-time research insights to help your organization adapt and succeed during times of change.
Delivering results with Artificial Intelligence
Technology leaders have quickly recognized that alongside the potential benefits of GenAI, there are also risks from the technology’s immaturity.
Tech startup Darwinbox has seen exponential growth since its first line of code was written in 2015. Today, the HR Software-as-a-Service (SaaS) platform handles all employee interactions from recruitment to retirement, is present in 116 countries, and has over 850 customers and more than 2.2 million daily users.
Explore how MongoDB empowers Zomato's rapid growth. Hear from Zomato’s team how Atlas drives essential operations, from order tracking to featured restaurants, providing scalability and performance for Zomato's high-demand services.
Canara HSBC’s digital transformation was centered on three technical pillars: the cloud, analytics, and mobility. The company focused on creating a more integrated organization and automating manual processes within the system.
Slice has emerged as a leading innovator in India’s fintech ecosystem, focusing deeply on India’s young population. We’ve built a one-of-a-kind product that makes our customers’ financial experience more intuitive, rewarding, and truly delightful.
Tata Digital was founded in March 2019 as the newest company under India’s Tata Group. Tata Digital is the business’s digital backbone and unites all its consumer companies under one umbrella offering consumers a One Tata experience.
Speaking at the December 2022 MongoDB Day at Bangalore, Upendra described how slice is leading the disruption and innovation in the fintech ecosystem and setting global benchmarks.
MongoDB Atlas also enables much faster time to market for new services and features – Yousician can now spin up new clusters in ten minutes, rather than take a couple of days as was previously the case.
Download the white paper to learn more about the requirements to successfully deliver application-driven intelligence and how you can started. To compete and win in the digital economy you need to make your applications smarter.
You’ll learn how to discover and avoid the common pitfalls of modernization, optimize your chances for success, and achieve both the technological and business advantages of a successful modernization project.
To help organizations continue to deftly pivot and keep pace in an ever-evolving world, we compiled qualitative commentary from a diverse range of technical and non-technical experts from companies like Snowflake, Microsoft, AWS, and Tableau, among others.
Led by Max Cheprasov, Chief Automation Officer at Dentsu Aegis Network, the Automation Center of Excellence had been exploring how Artificial Intelligence (AI) could be used to boost business performance. As the team started realizing how task automation could give employees more time for strategic thinking and complex problem solving, they found FortressIQ.
Learn how a knowledge management system can increase efficiency, enable better project management, provide valuable insights to your clients and prospects, and so much more.
With this report, business leaders will learn about MLOps, a process for generating long-term value while reducing the risk associated with data science, ML, and AI projects. Authors Lynn Heidmann and Mark Treveil from Dataiku start by introducing the data science-ML-AI project lifecycle to help you understand what--and who--drives these projects.
How should organizations choose their AI projects? Should it be a trendy, consumer-facing solution such as a chatbot, virtual assistant, or computer vision application? Or is it better to focus on embedded, back-of-the-house projects that quietly help to improve internal operations, employee efficiency, or decision-making? This ebook has answers.
Read this ESG whitepaper to know how improving operational efficiency is the most important objective IT expects to accomplish from their organizations’ investments in the area of AI/ ML.
For an Enterprise AI strategy to be truly sustainable, one must consider the economics: not just gains, but cost. This ebook unpacks those costs and how to control them.
Read our white paper to learn: - How AI helps you to make smarter decisions - What's real about AI in M&A - and what's friction - How you can turn more data into better deals - Why AI can be used to fill information gaps and improve due diligence
Thoughts from 400+ Data Professionals Worldwide More than 400 data professionals in San Francisco, Amsterdam, Paris, and Stuttgart responded to the AI Impact Survey. This ebook breaks down the results and includes recommendations as well as best practices for organizations looking to scale AI.
Digital transformation requires a steady and resilient infrastructure that is both agile and cost-effective. Efficient data management and data storage are certainly the backbone of any such infrastructure. Download this whitepaper to learn more.
Case Study into how StubHub, streamlined and automated image management with Cloudinary, netting significant time and cost savings while displaying first-rate images in over 30 viewports across devices
This ebook looks at some of the inefficiencies of traditional field service, then highlights how AI-driven automation can help field teams work smarter and more efficiently.
Enabling Timely, Profitable Project Completion in an Uncertain World
Enabling Enterprise AI Enterprise AI is at peak hype, yet AI has yet to fundamentally change most businesses. For the most part, those that have been successful have democratized the use of data throughout the organization. But how can everyone else catch up? Enter: data science, machine learning, and AI platforms.