Artificial Intelligence And Digital Transformation

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Digital transformation is one of the most essential drivers of modern business, enabling organizations all over to give value to their clients in a fiercely competitive and ever-changing world. To accommodate the changing customer requirements and the marketplace, this transformation tries to employ digital technology to build or improve customer experiences and corporate operations.

With artificial intelligence, companies can now get more radical, versatile, and responsive than they have ever been. In this piece, we look at what AI and digital transformation are, as well as how artificial intelligence may help businesses grow.

What Is Digital Transformation?

This is any digital technology that enhances your enterprise. It includes anything from new cloud software like ERP systems, CRM software, and financial tools to technological breakthroughs like blockchain, robotics, the internet of things (IoT), or even artificial intelligence (AI).

Sales, promotion, and customer service are all driven by digital transformation. Besides, digital transformation all starts and ends with how you approach and interact with customers.

Much further, this is a culture shift that requires organizations to challenge the status quo regularly, experiment extensively, and be willing to fail. This sometimes can imply abandoning long-standing business operations on your organization's foundation in favor of more recent developments that are still being established.

What is Artificial Intelligence (AI)?

Ai refers to the mimicking of human intelligence processes by machines, particularly computer programs. Expert systems, natural language processing, and voice recognition, including machine vision, are examples of AI technologies.

AI technology works by consuming massive volumes of labeled training data, analyzing the data seeking correlations or trends, and then using these trends to forecast future outcomes. By examining millions of cases, a chatbot fed examples of text chats may learn to make realistic interactions with people. Also, an image processing program can learn to recognize and describe entities in pictures.

Learning, rationality, and self-correction are the three cognitive processes that AI programming concentrates on. Due to its benefits, today's biggest and most prestigious businesses have adopted AI to better their processes and establish a comparative benefit.

What Role Does Artificial Intelligence Play in Digital Transformation?

Experts have identified artificial intelligence (AI) to be a critical catalyst for digital transformation across a wide range of industries.


AI-powered security products use machine learning-trained algorithms to deliver solutions, which, among others, include:

  • Scanning systems for suspicious activities (pattern recognition)
  • Forecasting how and where organizations are most susceptible to compromise for proactive guarding
  • Alerting IT staff to potential threats

AI protects commercial and personal accounts or networks through:

  • Biometrics, like as facial recognition and fingerprint scanners
  • Creating, preserving, and automating sophisticated configurations for computer security
  • Configuring authentication and authorization so that only allowed parties may access your system

Furthermore, AI uses anti-malware and virus protection to enable you to restore your systems to their pre-event form. It also employs natural language processing (NLP) for predictive intelligence, notifying you of recent developments in industry-specific threats.


AI-guided sales procedures assist salespeople in closing deals by highlighting which prospects are more likely to convert, going by past customer and account information. Business executives who employ AI-enhanced solutions claim they are 84 percent more likely to meet quotas and are 67 percent better at concluding sales. They also have 50 percent more successful leads and can devote 50 percent more time to prospecting as compared to struggling enterprises.

Directed sales are a game-changer for merchants. They increase their drive, improve their sales, streamline their lead-to-cash flow, cut down their sales cycle, generate customer loyalty, lower sales turnover, and speed up the time to get things to the marketplace. In all this, AI helps to:

  • Predict possible clients.
  • Place the correct advertisements in front of the right individuals and determines when to contact potential leads or issue sales emails.
  • Upsell or cross-sells
  • Set rates
  • Train agents by monitoring calls


Artificial intelligence applies throughout the employment cycle, including recruitment and onboarding to talent management, enhanced productivity, learning and development automation, and improved employee satisfaction.

The following are some AI-powered digital transformation breakthroughs in recruiting:

  • Improving job advertisements along with delivering customized and computerized placements
  • Supporting managers in automating critical statistics, including the number of participants vetted and recruited during a certain timeframe (through inferential or people analysis)

Recruiters employ additional AI technologies to plan and coordinate appointments, whereas applicants employ smart forms to complete their submissions. Managers also leverage AI-powered conference platforms like Zoom to interview potential hires instantaneously all across the globe.

Last, recruiters (along with legal experts or salespeople) use contract lifecycle management (CLM) platforms, such as DocuSign, SAP Ariba, or Conga, to streamline contract development, maintenance, adherence, and signings.

Furthermore, AI-powered digital transformation HR activities in the post-hiring phase include:

  • Streamlining the employee orientation phase
  • Organizing seminars to train new workers using personalized instructions
  • Promoting a healthy work environment
  • Creating worker self-service portals

Customer service

When a seller does not grasp customer wants or customize their messaging correctly, customers are likely to switch brands. Also, customers hate waiting for service. They dislike having to provide a wealth of details about their concern and being redirected multiple times before finding a solution to their concern.

With AI, companies can create a prototype characterized as a centralized CRM data center, which records every customer relationship throughout the customer journey. This allows the organization to comprehend its clients' thoughts and aspirations at all times.

Examples of AI and Digital Transformation

Below are three practical examples of how artificial intelligence-powered digital transformation influences business operations:

Sales Analytics with AI

Predictive sales analytics make use of the most recent technological advancements, such as artificial intelligence (AI) to analyze large data sets and predict future occurrences. Although this approach is quite robust, it is also crucial to realize that it is only as good as the information it has to deal with. Even excellent AI is likely to garner incorrect conclusions when any material on your sales metrics (like the data housed in your CRM) is misleading.

Leveraging Smart Assistants

Smart sales assistant programs envision the wants of customers. This process usually involves three steps:

  • Asking specific inquiries to help customers figure out what they want or need.
  • Leveraging algorithms to identify shoppers and then offer them relevant products.
  • Assisting shoppers in closing purchases.

Smart assistants are thrilling since their AI-guided sales are a low-touch sales approach, with little to no human intervention. This makes it the fastest-growing sales trend in the 21st century, with 60 percent of smart companies expected to incorporate it by 2025.

AI-Powered Customer Service

AI provides sales teams with a comprehensive view of their clients based on web queries, shopping habits, and product evaluations. This allows them to better meet their needs, improve customer interactions, and streamline typical CRM operations.

Digital Transformation and AI's Future

Companies regularly struggle with system maintainability, sustainability, and administration when implementing newly built AI systems and ML algorithms. As a result, rather than a series of specialty and fragmented initiatives, a solid AI engineering strategy is critical to executing effective, interconnected AI solutions.

Markets & Markets estimate the overall worldwide conversational AI market to reach USD 15.7 billion by 2024, insinuating a 30.2 percent compound annual growth rate. Also, as per the Worldwide Semi-annual Cognitive Artificial Intelligence Systems Spending Guide, investment in cognitive and AI systems may hit $77.6 billion in 2022.

The Takeaway

Perhaps AI is ready for a corporate environment marked by extraordinary changes and instability. However, are businesses ready to embrace AI to achieve their objectives? At Technedo, we help organizations take advantage of next-generation technology, such as AI by providing them with the latest news about such technology. Connect with us right away to get more insights.

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