Deloitte Introduces ReadyAI Artificial Intelligence-as-a-Service Solution
April 08, 2021
Share this

Deloitte introduced ReadyAI, a full portfolio of capabilities and services to help organizations accelerate and scale their artificial intelligence (AI) projects.

ReadyAI brings together skilled AI specialists and managed services in a flexible AI-as-a-service model designed to help clients scale AI throughout their organizations.

With Deloitte's ReadyAI, organizations now have access to the services, technology and expertise they need to accelerate their AI journey.

"In the Age of With™, human and machine collaboration is taking organizations to new heights. While AI adoption is accelerating, many organizations struggle to scale their AI projects," said Nitin Mittal, AI co-leader and principal, Deloitte Consulting LLP. "ReadyAI provides the flexible and scalable capabilities that these companies need to successfully become AI-fueled organizations."

ReadyAI offers comprehensive service capabilities including:

- Data preparation: Provide data extraction, wrangling and standardization services. Also supports advanced analytical model development through feature engineering.

- Insights and visualization: Design and generate reports and visual dashboards utilizing data output from automations to improve business outcomes and automation performance.

- Advanced analytics: Data analysis for both structured and unstructured data. Creation of rule-based bots and insights-as-a-service.

- Machine learning and deep learning: ML and deep learning model development. Video and text analytics to assist conversational AI.

- Machine learning deployment: Create deployment architecture and pipelines for upstream and downstream integration of ML models.

- Model management and MLOps: Management of model performance, migration and maintenance. Automation of model monitoring process and overall DevOps for machine learning.

"The promise of AI lies in its deployment at scale in a fair, ethical and trustworthy fashion," said Rohit Tandon, GM for ReadyAI and managing director, Deloitte Consulting LLP. "ReadyAI helps clients take AI all the way from labs and pilot programs to real-life business integration and adoption."

With a talent pool of more than 3,100 AI professionals, Deloitte can assemble teams that have the right combination of industry, domain and AI technology skills to best suit clients' needs. These experts include cloud engineers, data scientists, data architects, technology and application engineers, business and domain specialists, and visualization and design specialists. By leveraging the right combination of skills, organizations can quickly accelerate their AI journey.

ReadyAI teams operate as an extension of clients' teams often for engagements of six months or more. Services are available as a flexible, subscription model, allowing clients to scale resources and capabilities up or down based on business needs and priorities.

Share this

The Latest

January 18, 2022

As part of APMdigest's list of 2022 predictions, industry experts offer thoughtful, insightful, and often controversial predictions on how Network Performance Management (NPM) and related technologies will evolve and impact business in 2022 ...

January 13, 2022

Gartner highlighted 6 trends that infrastructure and operations (I&O) leaders must start preparing for in the next 12-18 months ...

January 11, 2022

Technology is now foundational to financial companies' operations with many institutions relying on tech to deliver critical services. As a result, uptime is essential to customer satisfaction and company success, and systems must be subject to continuous monitoring. But modern IT architectures are disparate, complex and interconnected, and the data is too voluminous for the human mind to handle. Enter AIOps ...

January 11, 2022

Having a variety of tools to choose from creates challenges in telemetry data collection. Organizations find themselves managing multiple libraries for logging, metrics, and traces, with each vendor having its own APIs, SDKs, agents, and collectors. An open source, community-driven approach to observability will gain steam in 2022 to remove unnecessary complications by tapping into the latest advancements in observability practice ...

January 10, 2022

These are the trends that will set up your engineers and developers to deliver amazing software that powers amazing digital experiences that fuel your organization's growth in 2022 — and beyond ...

January 06, 2022

In a world where digital services have become a critical part of how we go about our daily lives, the risk of undergoing an outage has become even more significant. Outages can range in severity and impact companies of every size — while outages from larger companies in the social media space or a cloud provider tend to receive a lot of coverage, application downtime from even the most targeted companies can disrupt users' personal and business operations ...

January 05, 2022

Move fast and break things: A phrase that has been a rallying cry for many SREs and DevOps practitioners. After all, these teams are charged with delivering rapid and unceasing innovation to wow customers and keep pace with competitors. But today's society doesn't tolerate broken things (aka downtime). So, what if you can move fast and not break things? Or at least, move fast and rapidly identify or even predict broken things? It's high time to rethink the old rallying cry, and with AI and observability working in tandem, it's possible ...

January 04, 2022

AIOps is still relatively new compared to existing technologies such as enterprise data warehouses, and early on many AIOps projects suffered hiccups, the aftereffects of which are still felt today. That's why, for some IT Ops teams and leaders, the prospect of transforming their IT operations using AIOps is a cause for concern ...

December 16, 2021

This year is the first time APMdigest is posting a separate list of Remote Work Predictions. Due to the drastic changes in the way we work and do business since the COVID pandemic started, and how significantly these changes have impacted IT operations, APMdigest asked industry experts — from analysts and consultants to users and the top vendors — how they think the work from home (WFH) revolution will evolve into 2022, with a special focus on IT operations and performance. Here are some very interesting and insightful predictions that may change what you think about the future of work and IT ...

December 15, 2021

Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry, and related technologies will evolve and impact business in 2022. Part 6 covers the user experience ...