All About Enterprise AI – Spreading Its Wings Far and Wide

All About Enterprise AI – Spreading Its Wings Far and Wide

Jul 26, 2021, 6:20:05 AM Tech and Science
“Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we'll augment our intelligence.” - Ginni Rometty

One of the major technologies that is shaking the world right now – Artificial Intelligence, may sound artificial but the trend and popularity is real. It has come up as of the most sought-after competencies, in terms of achieving efficiency, productivity, business results, maximum revenue and high-quality. AI is representing a varied set of tools and technologies most of which are ‘plug and play’ types. But trends are changing. Gartner predicts that by 2022, 75 percent of new end-user solutions leveraging AI and ML techniques will be built with commercial solutions rather than open-source platforms.

As AI spreads its wings far and wide, here comes the time when enterprises, worldwide are enjoying the fruits of it. The fast-moving AI competency is moving on to encompass all important aspects of an enterprise. AI is assisting enterprises gain an upper hand over other industries and that very concept is known as ‘Enterprise AI’. A technology in itself and as an advanced arm to AI, enterprise AI has been carving a niche for itself.

The global enterprise AI market size was valued at $4.68 billion in 2018, and is projected to reach $53.06 billion by 2026, registering a CAGR of 35.4% from 2019 to 2026.

Let us move onto understanding what enterprise AI means, what are its key benefits and features that makes it a rage today.

What is Enterprise AI?

Enterprise AI is considered as an important category of AI that leverages the advanced AI techniques to drive digitisation in the enterprise’s infrastructure. It is termed as a branch of AI that perform multiple tasks related to the enterprise, handling large volumes of data. It is a framework that accelerates the complete life cycle of enterprise-driven AI projects and offers the businesses a flexible approach to create AI solutions. 

A well-defined enterprise AI infrastructure can offer a fast, efficient, and smooth collaboration amidst AI engineers and scientists. This assists in cost effectiveness by avoiding duplicate work and automating easy doing jobs. Enterprise AI helps in achieving a balance between distribution of work and resources, so that there is no gap in extracting work out of skilled resources.

Enterprise AI focuses on working on different layers, that together form the stages of a smooth AI implementation. These layers are experience layer, intelligence layer, operations layer, experimentation layer and data integration layer. It embodies how an enterprise incorporates AI by integrating the competence to learn and interact in a way that matches human capabilities, through its infrastructure. 

The crux of implementing an enterprise AI infrastructure lies in its ability to have a successful scaling of a data strategy at all levels of the business, ensuring a smooth and efficient workflow. Organizations that have started implementing the basics of enterprise AI are in line for a successful and competent tomorrow.

Enterprise AI has been spreading its reach far and wide amidst multiple industry segments some of which are healthcare, BI, HR, sales and marketing, industrials and manufacturing, legal and compliance, finance and operations, data science and machine learning, security and risk, consumer marketing, customer management, logistics and supply chain, engineering and IT, digital commerce etc. 

As we witness the demand for enterprise AI going upwards, here are the key players in the field of enterprise AI that have been highly popular - Microsoft Azure Machine Learning, Databricks Unified Data Platform, SAS Visual Data Mining and Machine Learning, Dataiku Data Science Studio, Amazon SageMaker, Google Cloud Vertex AI, H2O Driverless AI, HPE Ezmeral, IBM Watson Studio, DataRobot Enterprise AI Platform etc.

Why Enterprise AI?

AI has been successfully implemented in many industry segments, globally. Then, what is the prime reason of having this arm of AI – enterprise AI. Here is the reason – enterprises have their own set of parameters and workflows that must be catered to. While the same technology or framework may be applied to each enterprise, the way of dealing with it and ensuring a smooth transition of its workflow is different for different enterprises.

There are certain parameters that each enterprise must cater to, for a successful implementation of enterprise AI. These variables must be analysed, its impact must be studied, and problems associated with it must be catered to. An entirely individual strategy must b e worked upon as a team, to identify the consequences that may come up.

There could be unforeseen circumstances that may pop up while its implantation. There has be detailed thought given to each of the situations, that may crop up. This can only be done if it is given due thought and emphasis as a separate process altogether. Implementing AI in any small or medium sized organization and implementing it in an enterprise offers a great deal of difference and that difference can be attended to, through the modern-day technology called ‘Enterprise AI’. 

Business Benefits of Enterprise AI

  • Enhances Quality of Work and Efficiency Levels

When enterprise AI is implemented at all levels, with a good success ratio, there is sure to be increased efficacy and productivity. There would be automation of processes leading to better collaboration and communication with other departments and customers. The entire quality standard is bound to increase by a large margin

Having different AI procedures and algorithms in place would ensure a better tomorrow for the business, in terms of profitability, revenue and productivity. Integrating AI into daily business routines will enhance the way business is done. It will help in securing important information and bring in a better control over systems.

  • Early Implementation of AI in the Enterprise Will Work Wonders

All businesses are in the race to excel and that is where organizations who will embrace AI techniques at an early stage are sure to garner benefits, as compared to others. Implementing AI processes, training the users on the newer concepts, integrating systems seamlessly etc. are the few steps that enterprises must take much in advance, to garner the best fruits of the technology.

Implementing it early ensures that all business transactions would be optimized, and systems would be continuously updated, offering real-time information. Unlike enterprises, who delay the implementation process and thereby, waste their time, efforts, and money.

  • Investing in AI Would be a Long-Term Investment

Having an enterprise AI setup is a long-term investment that will have its own share of advantages that will transform the organizational culture in a big way. Not only technologically, implementing these processes will bring about a radical change in how the businesses will function. It could take a longer time for the users to understand the actual benefits of the same, but in the long run, there is sure to be heavy benefit out of it. The foundation for machine learning, data science and AI would be created at the enterprise level and the taskforce, ranging from top management to end users would be benefiting out of it.

  • Increases Collaboration Between Taskforces

Having AI solutions implemented across the enterprise is sure to bring the taskforce closer to each other. Be it scaling across teams or across verticals, team members ranging from business analysts to data scientists are bound to collaborate with ease and efficacy. There is sure to be a positive transformation in the working of people and the way they think and do business. It may take a while to get accustomed to the new processes but once done, there are many advantages to enjoy.

  • Reduces Burden of Day-to-Day Jobs

Enterprise AI takes up the load of performing multiple routine jobs that usually take away a lot of time and effort, on the user’s end. This will save a lot of time and energy for the team members, with which they will be able to focus on their creative arena and offer better outputs. Even, the speed of their working is sure to increase, with automation in most mundane jobs. They just need to monitor progress and check authenticity. Everything else gets automated and intelligent. AI has the capability of reaching out to the tech stack and extracting all needed information in one go, connecting it to the necessary interfaces. This helps users bigtime in completing their tasks in lesser time with high-end productivity.

  • Automation of Procedures

Automation is big jewel in the crown of AI. Automation of certain tasks is like a big job done when it comes to performing all activities through human interface. Yes, there is no relief in terms of attending to important strategic calls, but AI can surely lessen work pressure by automating tasks like sending emails, creating reminders, schedule meetings, get necessary data from document database etc. Creating automated tasks can help maintain the business workflow at one level and thereby, keep all stakeholders on the same page. Doing this helps in lessening the occurrence of errors and provoke team mates to think more logically.

Key Challenges of Enterprise AI

As simple as it sounds, implementation of AI in the enterprise has its own share of challenges. Majorly, because it caters to all the workflows, departments, and infrastructure of the entire enterprise. Also, implementing enterprise AI may not give results that soon, it will take its own time to showcase results. Users or managers may expect results too soon and that is one big hurdle that may arise with immediate effect.

Another major challenge is the curation of data. Data curation talks about data management all through the process. While catering to the whole enterprise, there are many challenges that can come up in terms of missing information or unwanted information. AI can prove to be tough if the data is not well maintained and managed.

Yet another hurdle could be the organizational culture, which is not yet used to the new change coming up. Implementing AI all over the enterprise will bring in cultural and technical changes in almost each aspect of daily functioning for users. These users would range from the CEO to managers to end users. To embrace these changes with open arms, is not something each user may do, with ease. There must be special efforts like training programs, orientation sessions etc. to ensure a positive and smooth transition of users. And, these training sessions must orient each level of user, keeping in mind their roles and responsibilities.

Also, enterprise may be lacking the needed digital infrastructure that is needed. Preparing the enterprise for the same may take certain amount of planning and time, that needs to be invested right from the beginning. Not doing so may create a challenge in terms of a successful output.

What Comes Next?

Now, as the world enterprises are embracing artificial intelligence development, there are many successful data associations that are coming up. These associations are helping train users in implementing enterprise AI systems. It is interesting to watch how the AI-driven globe will bring enterprises to a new level, accelerating its growth, opportunities, and business.

The capability of enterprise AI is ever-increasing, ranging from making useful decisions to automating business procedures to handing supply chain and logistics to extracting the best of competencies. Enterprise AI has the power to hover a magic wand over enterprises and the rest is for us to witness. Though it is not as easy it looks, it is not impossible either!

Published by Ankit Kumar

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