Liwaiwai Liwaiwai
  • /
  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Engineering
    • Architecture
    • Design
    • Software
    • Hybrid Cloud
    • Data
  • About
Liwaiwai Liwaiwai
  • /
  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Engineering
    • Architecture
    • Design
    • Software
    • Hybrid Cloud
    • Data
  • About
  • Artificial Intelligence
  • Practices

10 Steps To Create A Successful Cloud And AI Strategy

  • January 12, 2021
  • admin

To drive business agility and accelerate IT transformation, an integrated hybrid multicloud and AI strategy is key.

IT transformation is the basis of competitive advantage for modern enterprises. Your IT infrastructure determines how quickly you can respond to new market opportunities, how fast you scale, and how well you can serve your customers.

As the digital economy continues to rapidly expand and evolve, organizations must be able to match its pace. Cloud computing has proven to be instrumental in powering digital transformation that is crucial to achieving true business agility, and hybrid multicloud—the next generation of cloud—is the most flexible and effective IT architecture for innovation. Twenty-one percent of the world’s enterprises have already implemented hybrid multicloud to varying degrees (IDC’s Cloud Pulse, 1Q20), and this number will continue to increase drastically.

 

Hybrid multicloud and AI

While hybrid multicloud helps modernize your IT environment, adding artificial intelligence (AI) can improve the way people work, change how enterprises operate, and even transform entire industries. AI provides capabilities that not only offer cost savings, but also drastically improve business outcomes. It can help organizations automate critical processes, predict and form outcomes at both the macro and micro levels, allow employees to engage in higher-value, more meaningful work, and ultimately optimize and streamline operations.

Hybrid multicloud platforms minimize data siloes and bring together disparate data across environments, creating a unified data architecture needed for AI deployment. Hybrid multicloud also accelerates the development and deployment of AI at scale, and, in turn, AI simplifies and automates the management of hybrid multicloud.

Read More  How An AI Brain With Only One Neuron Could Surpass Humans

These two technologies are driving IT transformation, and their combined effect can amplify business outcomes. Enterprises need to adopt a holistic hybrid multicloud and AI strategy to produce robust results.

 

10 steps to consider when creating your cloud and AI strategy

  1. Create AI strategy, data strategy, and infrastructure strategy that are aligned with each other and overall business objectives.
  2. Make sure that all line-of-business executives understand the concepts and urgency of digital transformation and AI.
  3. Let each line of business brainstorm and present its innovative ideas on leveraging AI.
  4. Bring in the CTO, CFO, and their teams to study the feasibility of the ideas from the perspectives of technology and investment/budget.
  5. Evaluate your organization regarding your information architecture.
  6. Design a multipronged strategy for your hybrid multicloud.
  7. Identify cloud platforms with embedded AI capabilities.
  8. Investigate commercial software, open source solutions, and AI-as-a-Service that can accelerate your AI journey.
  9. Establish a staffing and training plan for your AI and hybrid multicloud teams.
  10. Start with proof-of-concept projects that are low-risk but visible enough to the organization to ensure success, awareness, and future funding.

An AI-powered organization primed for digital transformation can only be achieved through strategic planning and consistent execution. Approaching hybrid multicloud and AI together in a holistic and unified strategy is necessary for enterprises to unlock business agility and realize long-term value.

This feature originally appeared in IBM Cloud.

admin

Related Topics
  • AI Strategy
  • AI-as-a-Service
  • Artificial Intelligence
  • Cloud Computing
  • Hybrid Cloud
  • IBM
  • Multi-Cloud
You May Also Like
View Post
  • Artificial Intelligence
  • Technology

Limits To Computing: A Computer Scientist Explains Why Even In The Age Of AI, Some Problems Are Just Too Difficult

  • March 17, 2023
View Post
  • Artificial Intelligence
  • Machine Learning
  • Platforms
  • Technology

Using ML To Predict The Weather And Climate Risk

  • March 16, 2023
View Post
  • Artificial Intelligence
  • Platforms
  • Technology

Google Is A Leader In The 2023 Gartner® Magic Quadrant™ For Enterprise Conversational AI Platforms

  • March 16, 2023
View Post
  • Artificial Intelligence
  • Technology

The Future Of AI Is Promising Yet Turbulent

  • March 16, 2023
View Post
  • Artificial Intelligence
  • Data
  • Machine Learning
  • Technology

ChatGPT: How To Prevent It Becoming A Nightmare For Professional Writers

  • March 16, 2023
View Post
  • Artificial Intelligence

AI Tokens Are Gaining Momentum In 2023

  • March 14, 2023
View Post
  • Artificial Intelligence
  • Technology

How Bootstrapped Saas Businesses Can Use ChatGPT For Marketing

  • March 14, 2023
View Post
  • Artificial Intelligence
  • Automation

Can Businesses Help Build Trustworthy And Accurate Generative AI?

  • March 14, 2023

Leave a Reply

Your email address will not be published. Required fields are marked *

Stay Connected!
LATEST
  • 1
    How Osmo Is Digitizing Smell With Google Cloud AI Technology
    • March 20, 2023
  • 2
    Built With BigQuery: How Sift Delivers Fraud Detection Workflow Backtesting At Scale
    • March 20, 2023
  • 3
    Building The Most Open And Innovative AI Ecosystem
    • March 20, 2023
  • 4
    Understand And Trust Data With Dataplex Data Lineage
    • March 17, 2023
  • 5
    Limits To Computing: A Computer Scientist Explains Why Even In The Age Of AI, Some Problems Are Just Too Difficult
    • March 17, 2023
  • 6
    The Benefits And Core Processes Of Data Wrangling
    • March 17, 2023
  • 7
    We Cannot Even Agree On Dates…
    • March 17, 2023
  • 8
    Financial Crisis: It’s A Game & We’re All Being Played
    • March 17, 2023
  • 9
    Using ML To Predict The Weather And Climate Risk
    • March 16, 2023
  • 10
    Google Is A Leader In The 2023 Gartner® Magic Quadrant™ For Enterprise Conversational AI Platforms
    • March 16, 2023

about
About
Hello World!

We are liwaiwai.com. Created by programmers for programmers.

Our site aims to provide materials, guides, programming how-tos, and resources relating to artificial intelligence, machine learning and the likes.

We would like to hear from you.

If you have any questions, enquiries or would like to sponsor content, kindly reach out to us at:

[email protected]

Live long & prosper!
Most Popular
  • 1
    The Future Of AI Is Promising Yet Turbulent
    • March 16, 2023
  • 2
    ChatGPT: How To Prevent It Becoming A Nightmare For Professional Writers
    • March 16, 2023
  • 3
    Midjourney Selects Google Cloud To Power AI-Generated Creative Platform
    • March 8, 2023
  • 4
    A Guide To Managing Your Agile Engineering Team
    • March 15, 2023
  • 5
    10 Ways Wikimedia Does Developer Advocacy
    • March 15, 2023
  • /
  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Engineering
  • About

Input your search keywords and press Enter.