9 Business Functions Being Transformed by Artificial Intelligence

9 Business Functions Being Transformed by Artificial Intelligence

Artificial Intelligence in Business: 9 Key Functions Being Transformed by AI

The guide to AI technologies that are revolutionizing how we do business, disrupting every industry and impacting almost every business process.


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Content Topics:

What is Artificial Intelligence

The Rise of Artificial Intelligence in Business

9 Examples of AI Transforming Business Functions

Artificial Intelligence: Choosing the Right Partner

Don’t have time to read it all right now? Download the entire guide to save it for later or share it with your team.

Artificial Intelligence (AI) has become commonplace in all our lives. In fact, 77% of the devices we use feature a form of AI.

It’s clear that AI is already disrupting almost every industry and impacting almost every business process. It offers huge opportunities for businesses at the forefront of its adoption.

Let’s explore exactly what AI means for businesses and the future trends to watch in this constantly evolving field:


  1. What is Artificial Intelligence
  2. The Rise of Artificial Intelligence in Business
  3. 8 Examples of AI Transforming Business Functions 
  4. AI trends to look out for in 2022 and beyond
  5. Artificial Intelligence – Choosing The Right Partner

What is Artificial Intelligence?

Artificial intelligence is the programming of machines to replicate decision-making that typically requires human intelligence.

The field of AI covers technologies from machine learning and deep learning to computer vision and natural language processing.

Machine Learning

Machine learning is the most widely recognized and understood branch of AI. ML algorithms improve over time to more accurately predict outcomes. For example, Netflix’s recommendations system improves the more shows we watch.

Deep Learning

Deep learning is a type of machine learning that involves training artificial neural networks to perform specific tasks. Tasks include image recognition, natural language processing, and decision-making.

The ‘deep’ in deep learning refers to the neural networks being equipped with many layers, allowing them to learn complex and abstract representations of data.

The specialty of neural networks is that they are designed to mimic the way humans think.

The most common example of deep learning is self-driving cars. The models analyze multiple forms of inputs and make decisions in real-time intended to mirror how a human would react in the same situation.

AI technologies like this, coupled with the right data, analytics, and automation, can expand the capabilities of businesses immensely and help them achieve their strategic goals in ways previously unimaginable.

Types of Artificial Intelligence

AI as we know it today is ‘weak’ or ‘narrow’ AI – designed to perform only a specific task or a group of closely related tasks like Apple’s Siri or personalized social media ads.

These systems are powerful and have a huge impact on how we live and work, but their specialized applications still only have a limited scope.

The AI we often see in sci-fi movies – robots that can outperform humans at any task (think Vision from the Avengers movies) – is ‘strong’ or ‘general’ AI. For the time being this type of AI remains fictional, but is the ultimate goal for many researchers. If achieved, it could see technology quickly outsmarting humans.

“As AI gets probably much smarter than humans, the relative intelligence ratio is probably similar to that between a person and a cat” – Elon Musk

But with no real-life examples of strong AI yet, today’s narrow AI remains an enhancement of our human capabilities rather than a replacement.

The Rise of Artificial Intelligence in Business

AI was first named in 1956 by John McCarthy. so it has taken some time to reach this critical point for businesses across industries.

75% of executives now fear going out of business within five years if they don’t focus on scaling AI.

With advances in cloud computing and processing power, businesses have access to data like never before. This has thrown the doors wide open for AI technologies that harness the power of that data.

This also opens up the possibility for business leaders to combine digital transformation with AI. This transformation enhances current capabilities and creates completely new capabilities. Companies at the forefront of this are already having an impact on our lives every single day.

3 Examples of AI in Business You Must Know


Have you ever wondered how Amazon manages to deliver products to you on the exact same day, often in a matter of hours?

Amazon began its AI evolution by developing its website recommendations engine but soon took it much further. Their entire distribution network now essentially runs on AI.

This means they can recommend products to their customers and use predictive models to shift stock between their warehouses in advance of purchases – all through the power of AI.

Amazon are even making strides with machine learning and natural language processing in healthcare with their Comprehend Medical System.


When it comes to companies having success with AI, Tesla of course deserves a mention.

Their self-driving car technology is set to revolutionize safety and comfort on our roads. Not to mention the Tesla Bot, an autonomous humanoid robot, designed to take over all the boring tasks that we humans simply don’t want to do.


The world’s largest taxi firm takes no chances when it comes to cutting-edge technology – and it has paid off, with 93 million people using the app every month.

They’re using computer vision to more accurately confirm the identity of drivers and improve safety. Machine learning is forecasting demand and ETAs. Not to mention that they also have their own skin in the game when it comes to self-driving vehicles.

Benefits of AI in business

The largest appeal of AI cited by business leaders is the power to automate mundane and repetitive tasks. This allows employees to focus on valuable, strategic tasks that need human input – boosting efficiency and productivity.

Investing in AI can also significantly reduce operational costs in the long run as AI operates at a pace and scale humans can’t.

A further consequence is a reduced margin for error and higher accuracy with less human intervention.

In essence, these benefits serve one overarching purpose – to maintain or improve a company’s competitiveness. AI technologies drive efficiency, accuracy, and the availability of information. The result is more informed decision-making that enhances competitive advantage.

Challenges of AI in business

A large challenge faced by businesses implementing AI into their strategy is data scarcity. The amount of data out there is difficult to comprehend. But it can be difficult for companies to actually get their hands on enough of that data.

For machine learning to work effectively, it requires a large amount of data to train a model to be successful. Generally speaking, the more data the better the results. This raises the question of how a company can best access, store, and process this data to train the models.

Another example is businesses in newly emerging fields – there simply won’t be enough data in existence to harness the full effects of AI yet.

What it means for the workforce

No business survives without the efforts of its employees. So, what does AI implementation mean for them?

Successful implementation of AI doesn’t end with executing the software. User adoption is critical.

Even the most digitally forward companies need a cultural shift as processes and ways of working inevitably change.

That’s why it’s essential that teams understand how important these new technologies are to the success of the business and the benefits to themselves. AI is an augmentation of their capabilities, not a replacement for them.

9 Examples of AI Transforming Business Functions

If your company isn’t using AI-enhanced technologies in some capacity, you’re already behind the curve.

Here are the 8 areas you should consider to focus your AI efforts:

  1. Customer Service
  2. Marketing
  3. Sales
  4. Accounting & Finance
  5. Research & Development
  6. IT Operations
  7. Human Resources
  8. Supply Chain & Manufacturing
  9. Cybersecurity

1. Customer Service

Business is about serving your customers well. So it’s no surprise that customer service is one of the key functions where leaders are adopting AI.

For example, chatbots are offering customers access to 24/7 support. As the fastest-growing method of communicating with customers in 2020, 24.9% of customers used chatbots to communicate with brands.

Aside from communication, businesses are using AI to analyze customer behavior. The results are driving improvements in customer service and the actual products or services they offer.

2. Marketing

Marketers at the forefront of adopting AI tools are using advanced technologies and insights to enhance their marketing efforts. For example, optimizing campaigns through targeted ads on social media and search engines that use metrics like customer browser history to improve targeting.

Marketing teams should also be adopting tools that track marketing insights. AI-driven metrics like click-through and conversion rates help optimize campaigns and assist with customer segmentation.

3. Sales

Arguably sales will remain a human-lead function, especially for high-ticket products and services. Yet, AI technologies can augment the capabilities of sales teams. They provide more accurate sales forecasts, key performance indicator (KPI) tracking, and automated customer follow-up reminders.

4. Accounting & Finance

Finance professionals are reaping the benefits of AI technology to shift their focus from repetitive data entry tasks to strategic, value-adding activities.

This automation reduces errors and considerably frees up their time.

But it also allows for monitoring real-time financial status – something not possible without AI.

5. R&D

Taking advantage of AI for R&D opens doors to analyzing massive amounts of data much more accurately and efficiently.

Deep learning and machine learning can also solve hugely complex problems that we as humans couldn’t overcome.

In turn, this drives more informed decision-making and strategic research.

The result? New opportunities and revenue streams whilst also reducing operating costs.

6. IT Operations

Implementing AI technologies and automation can completely transform IT ops. Often, companies use outdated and inefficient systems that have a huge negative impact on productivity.

How often do you experience IT issues at work?

AIOps (AI for IT operations) leverages the power of AI to manage systems. It’s possible to automate routine maintenance, proactively troubleshoot, and manage system updates.

Adopting these technologies ultimately boosts efficiency, cost-effectiveness, and also cybersecurity.

7. Human Resources

AI automates repetitive, data-driven HR tasks so that professionals can focus on the ‘human’ side of HR – the tasks that add more real value to the function. For example, 24/7 chatbots to respond to common HR queries and improved analytics to track HR KPIs.

Improving the experience of candidates during recruitment, enhancing employee training, and providing greater insights – AI is certainly strengthening the toolkit of HR professionals.

8. Supply Chains & Manufacturing

Supply chains have become substantially harder to manage – most notably due to the effects of the COVID-19 pandemic. Resilience and sustainability are more crucial than ever before to navigating challenges.

AI is changing the face of processes from procurement and logistics to manufacturing and warehousing. AI-driven supply chains can improve demand forecasting and materials shortage predictions, and even assist in quality control using computer vision.

This improved monitoring and visibility across the whole supply chain are driving strategic decisions.

9. Cybersecurity

It’s clear that AI is having a significant impact on all business functions and security is no exception to this. Not only does the additional data capture and storage required to use AI technology impact the level of security companies need to protect that data, but AI is augmenting those security capabilities as well.

Machine learning models can be trained to identify security risks in real-time. This ability can be utilized by banks to alert to any abnormal consumer spending, and by enterprises to automatically detect malware and keep track of IT asset inventory.

AI is also being harnessed to automate a lot of mundane tasks, freeing up the time of IT teams for more pressing matters that require their manual intervention.

Check out our full article on artificial intelligence in cybersecurity.

  • Accelerate the digitalization of work processes (e.g. use of digital tools, video conferencing) 84% 84%
  • Provide more opportunities yo work remotely 83% 83%
  • Accurate automation tasks 50% 50%
  • Accelerate the digitalization of upskilling/reskilling (e.g. education technology providers) 42% 42%
  • Accelerate the digitalization of upskilling/reskilling programmes 35% 35%
  • Accelerate ongoing organizational transformations (e.g. manufacturing) 34% 34%
  • Temporarily reassign workers yo different tasks 30% 30%
  • Temporarily reduce worforce 28% 28%
  • Permanently reduce worforce 13% 13%
  • Temporarily increase worforce 5% 5%
  • No specific measures implemented 4% 4%
  • Permanently increase worforce 1% 1%

Planned business adaptation in response to COVID-19 – Future of Jobs Survey 2020, WEF

With technologies constantly advancing, what are some of the key emerging trends to look out for?



Already rising in popularity with both businesses and consumers, chatbots are set to continue on their trajectory of growth with further advancements in natural language processing (NLP). By 2024 consumer retail spend via chatbots is expected to reach $142 billion—up from just $2.8 billion in 2019.



Openai released their ChatGPT service in November 2022 and it has taken the world by storm.

Achieving 1 million users in just 5 days there’s no questioning the ability of the application.

To put that into perspective, it took Instagram 2.5 months to reach 1 million users.

The application is simple: You ask it a question and it presents you with an answer.

ChatGPT and other language models like it have the potential to greatly impact businesses in the future by automating customer service and support tasks, such as answering frequently asked questions and providing information about products and services. They can also be used for tasks such as content generation and data analysis.

Additionally, language models can be integrated into virtual assistants and chatbots, which can improve customer engagement and experiences.

Overall, the use of language models in businesses can help to increase efficiency and reduce costs while also improving the overall customer experience.

Now, what if we told you that the last three paragraphs were written entirely with ChatGPT?

It didn’t produce the most riveting read, but you can see how the application definitely has merits that can be used to aid businesses now, and even more so in the future as it develops further.

The application is also currently being used to help people write code, generate ideas, and summarize lengthy pieces of information.

Here, we asked the application to “write me a piece of javascript code for a simple game. The game is a block character that has to jump over obstacles” – And this response took less than 60 seconds.

AI image generation

Similar to ChatGPT, Openai released an AI image generation tool – Dall-E.

The concept is similar. Users input something they want the tool to design and it generates an image.

For example, we asked it to generate an “image of a dog sitting on a chair in the style of Vincent van Gogh” and it produced these results within 60 seconds:

On the face of it, this seems a little “gimmicky”. However, the potential for businesses to adopt this into their workflows creates a huge potential to improve productivity.

E-commerce companies can use AI-generated images as product images, advertising agencies can use AI-generated images and videos for advertisements, and designers can use it for assistance in their design process.

And that’s just the tip of the iceberg.

The use of AI in image generation can also be used to detect fraudulent images that have been manipulated, such as deep fakes.


AI-Driven Quality Assurance

The development of AI-driven quality control and inspection has also gained momentum in recent years. Huge improvements in reliability and accuracy for processes like detecting defective products or parts on assembly lines are driving popularity in the manufacturing industry.


The Metaverse

The metaverse made headlines in 2021 when Mark Zuckerberg, the CEO of Meta (formerly Facebook) announced plans to create it. AI technology is the cornerstone of making this concept a reality – combining VR with the foundations they’ve already laid with the Facebook platform.

Brands who are early adopters are seeing the metaverse as a means of expanding what they do and how they connect with their customers – building deeper and more personalized relationships.

Not only that, that metaverse is set to augment communication within companies and the experience of employees as well. Businesses may be able to hold immersive virtual events using avatars and connect remote employees in virtual meeting rooms, using VR to immerse users by mixing digital and physical world experiences.

Undoubtedly, this news is just the beginning of a huge shift in the way businesses connect with their workforce and audiences. A change that is completely underpinned by AI technology.

Artificial Intelligence – Choosing The Right Partner

AI is here to stay. Using it to your advantage will be the only way to maintain competitiveness in any industry.

That’s why at RediMinds we combine our expertise in digital engineering and AI to help our clients harness the power of AI and access new insights that drive their businesses forward.

Visit our AI Enablement Solutions page to find out more or talk to one of our experts to start your AI journey.

Want to Build Systems that Learn
and Adapt?

Speak to one of our experts to help you get started with artificial intelligence solutions. 

Digital Transformation – 5 Key Benefits and Trends in 2023

Digital Transformation – 5 Key Benefits and Trends in 2023

Why Are Businesses Experiencing a Digital Transformation: 5 Key Benefits and Trends to Look Out for in 2023

The guide to why data-driven digital transformations are the only way for businesses to stay relevant and competitive today.

By submitting your details, you are subscribing to our marketing communications. You can unsubscribe at any time.

Content Topics:

What is Digital Business Transformation?

The Importance of Digital Transformation in Business

Why Businesses Need to Embrace Digital Transformation Today

What Digital Transformation Means for Businesses – 5 Key Benefits

Digital Transformation Trends to Look Out for in 2023 and Beyond

Key Elements of a Successful Digital Transformation Strategy

Digital Transformation – Choosing the Right Partner

Don’t have time to read it all right now? Download the entire guide to save it for later or share it with your team.

Only 11% of executives believe that their business models will be economically viable through 2023. So it’s no surprise that 64% agree that they need to build new digital business models to change that.

There’s no doubt that data-driven digital transformations are the key to making this possible.

So, let’s explore exactly what digital business transformation means and some of the biggest trends that are revolutionizing how we do business in every industry:

  1. What is Digital Business Transformation?
  2. The Importance of Digital Transformation in Business
  3. Why Businesses Need to Embrace Digital Transformation Today
  4. What Digital Transformation Means for Businesses – 5 Key Benefits
  5. Digital Transformation Trends to Look Out for in 2022 and Beyond
  6. Key Elements of a Successful Digital Transformation Strategy
  7. Digital Transformation – Choosing the Right Partner

What is Digital Business Transformation?

Digital Transformation is a fundamental shift to a sustainable, digital-based business model that enhances the capabilities of a business. The transformation can create new revenue opportunities and impact how the company delivered value to its customers.

Delivering a strong end-to-end customer journey is crucial to success for any business. Hence, optimizing the customer experience is a core driver of digital transformation.

Digitization, Digitalization, and Digital Transformation

Whilst digitization and digitalization are often mistakenly used interchangeably, they’re very different processes at different stages on the digital journey of a business.

Digitization is the process of making analog data digital. This optimizes internal processes by improving workflows and efficiency. Digitalization takes this a step further by leveraging digital technologies and data to further improve existing processes and reduce operational costs.

Digital transformation refers to the use of this digitalization to create a fundamental shift in the culture and business model of a company. This not only improves current processes but generates new ones.

Digital transformation takes on a different form in every organization to include initiatives such as:

  • Retraining and upskilling employees
  • Integrating technologies like artificial intelligence to automate certain processes
  • IT upgrades such as cloud computing
  • Technology that improves the customer experience online or in physical stores
  • Shifting to a remote work environment

The Importance of Digital Transformation in Business

Time and again new competitors have succeeded in outperforming incumbent firms by embracing digital transformations that gave them the competitive edge. Embracing their own digital transformation is the best way for existing companies to maintain their position in their respective markets.

In fact, 51% of executives view differentiating themselves from competitors as their core reason for pursuing their digital strategy.

McKinsey, 2021

Examples of 3 Companies That Just Got it Right


Starbucks has successfully used data-driven strategies to become the 3rd largest restaurant chain in the world. The most notable of these strategies is the implementation of their Deep Brew AI-based tool that predicts the best new store locations, and potential revenue growth from those locations.

They also drive personalization and menu innovation through their loyalty programs, as well as data-driven in-store improvements like upgrading their machines to speed up service time. All of these initiatives are part of their customer-focused digital transformation strategy that has driven huge business growth over recent years.


Disney’s digital transformation has occurred across many verticals of the business. Seeing an opportunity in the online streaming market, Disney launched Disney+ in November 2019. The platform has since amassed 118 million subscribers in 2 years.

They have also introduced new technologies in their theme parks to improve the physical experience of their visitors. Streamlined cashless payments in parks and personalized itineraries are both parts of their ongoing digital strategy. Whilst a partnership with Snapchat has also led to the launch of exclusive augmented reality ‘lenses’ for park visitors.


In the case of Burberry, their transformation allowed them to reach new markets and reimagine their brand image.

At the core was a focused marketing strategy on millennials through social media and digital advertising. They also enhanced the in-store customer experience by retraining staff to use new technologies. Whilst also connecting their employees with a new internal chat platform.

Why Businesses Need to Embrace Digital Transformation Today

The rate at which new technologies are appearing on the market has increased dramatically in recent years. Progress in fields such as AI, robotics, and big data offers huge opportunities for digital innovation.

99% of organizations report actively investing in big data and AI in some way.

Embracing digital transformation is crucial for organizations to remain agile, innovative, and competitive.


How the COVID-19 Pandemic Has Accelerated Digital Transformation

The COVID-19 pandemic was the catalyst for digital transformation across every industry.

Many organizations were already on a digitalization path pre-pandemic. But now, the necessary rapid adoption of new technologies has accelerated digital transformation by several years.

67% of companies in 2020 reported speeding up their digital transformation strategy in response to the pandemic.

Businesses had to adopt a digital approach to connecting with their workforce and customers. Platforms such as Teams and Zoom allowed colleagues to connect in virtual meetings. Customer service moved online for the most part.

Even as employees return to work, many companies are adopting a hybrid of office and home working. So, the digital infrastructure that facilitates this is now crucial to maintaining this new model.

With many changes to ways of working here to stay, this acceleration in digital investment is set to remain in the coming years.

What Digital Transformation Means for Businesses – 5 Key Benefits

  1. Improved Customer Experience
  2. Access to Live Analytics Data
  3. Collaboration Between Departments
  4. Increased Efficiency and Productivity
  5. Improved Innovation and Resilience to Rapid Change

Improved Customer Experience

Nowadays, consumers often base their opinion of a company on their customer service and the quality of digital interactions.

Revenues for businesses that prioritize customer service are reported to rise 4-8% above their market average.

So it’s no surprise that a customer-centric digital strategy can bring about huge returns. With data-driven decisions creating smarter sales interactions and more personalized service.

The result is a more loyal customer base with a greater lifetime value.

Access to Live Analytics Data

Effectively making ongoing process and product improvements can only arise from access to relevant data.

Live analytics drive informed strategic decision-making in multiple business functions from marketing and sales to manufacturing and quality control. For example, targeted marketing campaigns rely on digital technologies to process and segment customer data.

Collaboration Between Departments

Powerful digital transformation strategies focus on creating a digital ecosystem that standardizes data sharing across the organization. This breaks down data silos and fosters a culture of cross-functional collaboration.

The resulting knowledge sharing between teams leads to improved capabilities and satisfaction for employees in the workplace.

Increased Efficiency and Productivity

Process automation, either digital or robotic, significantly improves efficiency. Not only are tasks executed faster by limiting manual intervention but errors are minimized, workflows become more streamlined, and operational costs decrease.

In fact, 78% of business leaders agree that automation improves productivity for everyone involved.

This productivity boost means employees are free to focus on more fulfilling and value-adding tasks and create opportunities for new functionalities as well.

Improved Innovation and Resilience to Rapid Change

Digital innovation is the foundation of maintaining competitiveness, being responsive to rapid change, and creating new revenue streams in the process.

The impact of the COVID-19 pandemic is a prime example of this. Although many executives already recognized the importance of this resilience pre-pandemic, its value has become even more evident.

Digital Transformation Trends to Look Out for in 2023 and Beyond

Digital transformation is inevitable across all industries. Whether that be through existing market leaders acknowledging that digital-focused business models are their most sustainable method of growth, or by newcomers disrupting the market.

Here are 5 key trends that are gaining traction and we expect will be at the forefront of transformation objectives over the coming years:

  1. A Shift to Online Business Models
  2. Building Resilient Supply Chains
  3. Adoption of Cloud Services
  4. Artificial Intelligence and Automation
  5. Society 5.0

A Shift to Online Business Models

Since 2020 in particular, sustainable online business models have become more crucial than ever.

We saw department stores all over the world closing throughout 2021 – for example, Sears and Kmart in the US both closed their doors. An inability for such business models to combat the reduction of in-person shopping during the pandemic led to massive losses and inevitable store closures.

For those businesses that have adapted, a cross-industry shift to digitized products and services has accelerated by several years across the world.

McKinsey, 2020

This shift to digital-focused revenue streams is only set to continue into 2023 and beyond.

Building Resilient Supply Chains

Following the significant supply chain disruption caused by the pandemic, companies are doubling down on investments in digital infrastructure to help future proof their supply chains.

Efficiency and cost-effectiveness were at the center of supply chain strategies. However, companies are now recognizing that resilience to supply chain disruption and reducing operational risk are key factors that were being missed.

Many companies are digitally transforming their supply chains to streamline processes, better understand customer demand and support every aspect of the process.

Adoption of Cloud Services

Although not a new concept by any means, the market has seen massive growth in recent years – valued at $380 billion in 2021 with an expected $1,614 billion evaluation by 2030.

Increasing expectations for employers to provide flexible remote working capabilities has put an emphasis on cloud technology that supports this. Solutions that offer these remote working capabilities and the cyber security required to enable it securely are becoming essential for businesses across industries.

Artificial Intelligence and Automation

Artificial intelligence is becoming integral to digital transformations and new use cases for AI will continue to expand as companies realize the power it can hold for automation and problem-solving at scale.

Society 5.0

Society 5.0 is focused on integrating the physical and digital space through digital innovation that balances economic advancement and resolving societal problems. This Japanese initiative aims to fully embed advanced technologies into every corner of society, bringing about a digital transformation across their whole economy.

Although still in relatively early stages, this concept is a trend to watch over the coming years.

Key Elements of a Successful Digital Transformation Strategy

70% of transformations fail, not due to a lack of technology but due to strategies that don’t account for all of the factors.

So what are the other key elements to a successful digital transformation?

A Well Defined Digital Strategy and End Goals

Digital initiatives without clear direction and end goals are a guaranteed way to waste time and resources. A well-defined digital strategy will minimize risks and drive the direction of the initiatives.

Yet, only 30% of businesses have a well-articulated data strategy for their company.

To fully realize digital transformations, a whole company strategic approach needs to be taken into account for the requirements of, and impacts on, every aspect of the business.

But the strategy doesn’t end upon execution.

For continuous improvement and optimization, the strategy must include ongoing measures of success beyond the implementation phase.

Digital Infrastructure

Implementing the right tools and technologies is of course crucial to a successful digital transformation.

Often the main focus in any digital transformation, building integrated systems that remove data silos and increase flexibility is the foundation of executing the strategy successfully.

Upfront investment in the right infrastructure results in long-run cost benefits and greater ROI on digital initiatives.

Customer Service and Engagement

At the center of any company initiative or investment should ultimately be the goal to better meet customer needs. Customer data should not be ignored, but used in context to sculpt digital initiatives. This approach better drives the purpose and direction of strategies.

Company Culture

Transformation success ultimately depends on employee adoption and cooperation.

Culture is identified by 92% of leading companies as the biggest hurdle to becoming data-driven organizations.

The necessary cultural shift should be woven into every element of the implementation strategy. From educating employees on the benefits of the new approach, to providing thorough training for those whose duties are impacted, employee adoption is a core factor in any transformation.

Undoubtedly, an approach that takes into account the whole company ecosystem, as well as an awareness of upcoming trends, is ultimately the most effective way of ensuring success and resilience in this constantly changing business environment.

Digital Transformation – Choosing The Right Partner

Further disruptive changes are inevitable across all industries as a digital-first economy becomes the new normal. As the ideation and adoption of new technologies accelerates, established companies and newcomers alike must be on board in order to maintain sustainable, long-term growth.

That’s why at RediMinds, we combine our knowledge of digital engineering and artificial intelligence to design data-driven innovative solutions for our clients.

Visit our digital engineering solutions page to find out more or talk to one of our experts to start your transformation journey.

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How AI is Currently Being Used in Nephrology

How AI is Currently Being Used in Nephrology