Sign In
The CEO Views Small logos
  • Home
  • Technology
    Artificial Intelligence
    Big Data
    Block Chain
    BYOD
    Cloud
    Cyber Security
    Data Center
    Digital Transformation
    Enterprise Mobility
    Enterprise Software
    IOT
    IT Services
    Innovation
  • Platforms
    How IBM Maximo Is Revolutionizing Asset Management
    How IBM Maximo Is Revolutionizing Asset Management
    IBM
    7 Min Read
    Optimizing Resources: Oracle DBA Support Services for Efficient Database Management
    Oracle
    Oracle
    9 Min Read
    The New Google Algorithm Update for 2021
    google algorithm update 2021
    Google
    5 Min Read
    Oracle Cloud Platform Now Validated for India Stack
    Service Partner Horizontal
    Oracle
    3 Min Read
    Oracle and AT&T Enter into Strategic Agreement
    oracle
    Oracle
    3 Min Read
    Check out more:
    • Google
    • HP
    • IBM
    • Oracle
  • Industry
    Banking & Insurance
    Biotech
    Construction
    Education
    Financial Services
    Healthcare
    Manufacturing
    Mining
    Public Sector
    Retail
    Telecom
    Utilities
    Gaming
    Legal
  • Functions
    RISMA Systems: A Comprehensive Approach to Governance, Risk and Compliance
    Risma Systems
    ENTREPRENEUR VIEWSGDPR
    9 Min Read
    Happiest Minds: A “Privacy by Design” approach is key to creating GDPR compliant businesses
    Happiest Minds 1
    GDPR
    8 Min Read
    Gemserv: GDPR 2020 and Beyond
    Gemserv 1
    GDPR
    9 Min Read
    ECCENCA:GDPR IS STILL AN UNTAMED ANIMAL
    eccenca 1
    GDPR
    6 Min Read
    Boldon James: HOW ENTERPRISES CAN MITIGATE THE GROWING THREATS OF DATA
    Boldon James 1
    GDPR
    8 Min Read
    Check out more:
    • GDPR
  • Magazines
  • Entrepreneurs Views
  • Editor’s Bucket
  • Press Release
  • Micro Blog
  • Events
Reading: Incorporation of Big Data and Artificial Intelligence
Share
The CEO Views
Aa
  • Home
  • Magazines
  • Enterpreneurs Views
  • Editor’s Bucket
  • Press Release
  • Micro Blog
Search
  • World’s Best Magazines
  • Technology
    • Artificial Intelligence
    • Big Data
    • Block Chain
    • BYOD
    • Cloud
    • Cyber Security
    • Data Center
    • Digital Transformation
    • Enterprise Mobility
    • Enterprise Software
    • IOT
    • IT Services
  • Platforms
    • Google
    • HP
    • IBM
    • Oracle
  • Industry
    • Banking & Insurance
    • Biotech
    • Construction
    • Education
    • Financial Services
    • Healthcare
    • Manufacturing
    • Mining
    • Public Sector
    • Retail
    • Telecom
    • Utilities
  • Functions
    • GDPR
  • Magazines
  • Editor’s Bucket
  • Press Release
  • Micro Blog
Follow US
© 2022 Foxiz News Network. Ruby Design Company. All Rights Reserved.
The CEO Views > Blog > Technology > Artificial Intelligence > Incorporation of Big Data and Artificial Intelligence
Artificial IntelligenceBig Data

Incorporation of Big Data and Artificial Intelligence

The CEO Views
Last updated: 2024/03/07 at 6:31 AM
The CEO Views
Share
big data 1
big data 1

Artificial intelligence is gradually becoming widespread, affecting all facets of society — even Sonic drive-ins aim to introduce artificial intelligence to serve the consumer better. Apparently, each time another breakthrough emerges in the AI domain, concerns arise about its ability to displace human employment. Although this is a fact of adapting to a more tech-driven world, these apprehensions would usually ignore the characteristics of teamwork and work development that AI may have later on.

Big data and machine learning have taken a foothold in industries within a few years, with many embracing the age of artificial intelligence (AI) here. What is apparent is that with developments now being made on a relatively daily basis, companies need to prepare for an unrivaled future. However, individual companies may need to make a drastic change with the way they operate in order to take advantage of this.

Right now, AI and big data are seen to limit the opportunity they bring to the table for specific organizations. They are often viewed as something that can help to minimize operating expenses rather than as a critical tool for generating improvements in productivity, efficiency, and increased confidence throughout the operation. For AI and big data to be successful all together, companies need to combine them with business capacity and experience, making it something the C-suite can’t neglect.

The rapid development of the data systems and their applications has seen the innovative use of analytical models to view complex business scenarios for planning, operations, investment, and innovation. When data streams, analysis, and subsequent observations are omnipresent, companies continue to move to data-driven decision-making at all levels within the enterprise. Despite the availability of these technical tools, the crucial question is whether progress can be made using such toolkits.

Before, the success of statistical analysis required moderately scarce skills. However, today’s data ecosystems and networks can facilitate communication with sources without much of a break, disputing the information and then structure, store, and process with resource elasticity. Such technologies are on-demand in the cloud, promoting innovation and using ad hoc that can produce fast results if you know the requirements, risks, and have the skills and expertise to use them.

Although decision-making capabilities for crucial business assignments may not be provided to AI, its ability to provide stable, error-free data is now prompting essential insights that transform business operations altogether. The automation capabilities of AI suggest that it is being used slowly to streamline unremarkable tasks and offer more incentives for high-level activities to staff. By cutting operating expenses and increasing productivity, this can make organizations increasingly successful. By the end of the day, when AI continues to evolve, this will help us develop our own work.

Nevertheless, machine learning is the source of the most significant potential for AI.

As AI benefits from new data inputs, it turns out to be gradually ground-breaking and more ready to help with progressively complex tasks and algorithms, further expanding collaboration opportunities and improved performance. Machine learning allows AI applications to better understand a wider variety of guidelines, including the context in which an application is made.

It will trigger results that are substantially quicker and more efficient and help to overcome common challenges that we encounter today, for example, that automated customer service systems cannot clarify grievances or requests to solve. Nonetheless, even as these systems grow further, there will be many instances in which human interaction is required to achieve the ideal goals.

The speed of technological change is wavering and will only keep gathering momentum, producing new technology, new processes, new organizations, and new products. A significant challenge is the ability to identify and ultimately fuse the best approach for the company and extend advantage at the right time. No place is this much more the case than in the AI and big data field, where many start-ups claim to be the next pioneers in the business.

Organizations need to ensure they have a well-structured architectural framework that empowers CIOs to react with the versatility required to enter the new and replace the old. If something is not seen as working along these lines, or if a superior solution is found, the leaders can choose to evacuate it or supplant it with something that could be an excellent match.

As AI applications in daily life become increasingly complex and more ingrained, there will also be an increased need for people who can explain the discoveries and decisions that a computer makes.

Supervision of AI applications would also be critical in ensuring that undesirable outcomes are identified and dispensed with, for example, discrimination and even bigotry to avoid damage. It will continue to need human guidance to find new solutions and better serve its intended purpose, no matter how smart AI is.

Even though AI provides limitless possibilities for creativity and development, it does not have the option of attaining its full potential alone. A future for the world should see programmers, engineers, and everyday users and workers all the more completely incorporate AI into their daily lives.

The CEO Views April 21, 2020
Share this Article
Facebook Twitter LinkedIn Email Copy Link
Previous Article The Benefits and Pitfalls of BYOD e1595940459691 The Advantages and Disadvantages of BYOD
Next Article cloud 1 Benefits of Upskilling by Cloud-Based Learning
What is IT Asset Management How It Can Help Your Business 4

What is IT Asset Management & How It Can Help Your Business

February 13, 2024
Workers Compensation Process
Micro Blog

Workers’ Compensation Process

The CEO Views By The CEO Views December 20, 2024
How Modern Payment Technologies Save Time and Money for Users
Technology

How Modern Payment Technologies Save Time and Money for Users

The CEO Views By The CEO Views February 27, 2025
Where to start with improving
Micro Blog

Where to start with improving safety systems for logistics businesses

The CEO Views By The CEO Views January 22, 2025
Firearms Safety Training
Micro Blog

The Fundamentals of Firearms Safety Training: Keeping Yourself and Others Safe

The CEO Views By The CEO Views April 15, 2025

How to Do Online Casino Marketing

May 30, 2025

From Boardroom to Marketplace: How CEOs Are Driving Amazon Success

May 30, 2025

A Look at South Florida’s Top Personal Injury Law Firm, Hollander Law Firm Accident Injury Lawyers

May 30, 2025

The Digital Revolution Is Here – And Legacy Payment Systems Are Struggling To Keep Up

May 29, 2025

You Might Also Like

AI Assisted Code Reviews
Artificial Intelligence

AI-Assisted Code Reviews: Enhancing Software Quality and Security

8 Min Read
How AI Is Transforming Customer Service
Artificial Intelligence

How AI Is Transforming Customer Service: Chatbots and AI Assistants Taking The Lead

8 Min Read
Upskilling for an AI Driven World
Artificial Intelligence

Upskilling for an AI-Driven World: What Companies Must Do Now

7 Min Read
Integrating AI with CRM Systems
Artificial Intelligence

Integrating AI with CRM Systems: Enhancing Data-Driven Customer Engagement

8 Min Read
Small logos Small logos

© 2025 All rights reserved. The CEO Views

  • About Us
  • Privacy Policy
  • Advertise with us
  • Reprints and Permissions
  • Business Magazines
  • Contact
Reading: Incorporation of Big Data and Artificial Intelligence
Share

Removed from reading list

Undo
Welcome Back!

Sign in to your account

Lost your password?