Skip to main content

Why is it Important for Executives to know about Artificial Intelligence?




Imagine you are an IT executive in a company. As per your role, you have to offer IT solutions to problems that your company is facing, be it related to Finance, Sales, HR, Administration, etc. Maybe you are already playing this role. You have successfully implemented IT solutions to challenging problems. You are praised by your CTO, have also received various awards for successful implementations. You have been promoted in the past for this particular skill. You are living in a perfect world, where most of the problems that you are solving can be solved with programming. You are living in a non-Artificial Intelligence world.

Now imagine a world, where the problems that industries are facing today are not solved by programming. Imagine your company is facing problems that look difficult to be solved by any number of lines of code, or any number of current software solutions that exist in the market. You are faced with a dilemma of not able to offer solutions to such problems. Your CTO is always questioned by your CEO as to why your department is failing to find IT solutions to such problems. 

What if many challenges or problems that the industry is facing can be solved by AI? What if there are technologies that can give you solutions to problems that your company is facing? Will you ignore them, just because you don’t know how AI works? Will you wait for someone else to implement AI? Even if you wait for someone else to implement AI, how will you know whether the solution is optimal? 

Today, AI is all around us. It is in your mobiles that you carry. It is used when you message someone through Whatsapp, or click a picture, or book a flight, or travel using Google maps. It is used when you use Google search to find answers to what you are looking for. It is used when you do online shopping on Flipkart or Amazon. 

When AI is all around us, why is it you have not yet thought over using AI in applications that you already have, or ones that you plan to implement? Maybe you have thought of implementing AI, but have not received proper guidance on how to proceed in this direction. 

The industry is going through a paradigm shift, when AI based solutions will take over non-AI based solutions. A search engine with AI in it will always give better results than one with no AI. A Sales Report generated by using AI will help you in decision making better than a report generated with no AI. A machine will perform optimally since AI is able to do predictive maintenance rather than preventive maintenance. A MRI technology with AI will be able to assist a doctor in decision making better than a non-AI based MRI technology. A factory will be able to create better quality products with AI compared to a factory with no AI. An e-commerce website is able to recommend products better when AI based recommendation engines. A cognitive anti-virus will perform a better job than a non-cognitive anti-virus. Automated testing software with cognition will identify bugs better than automated testing software without cognition.

The examples are countless. AI can be applied to all the industries, in fact it is already applied to all the industries. All major cloud players such as AWS and Azure are offering AI as a service. You can develop an application on cloud, and add AI with few lines of code, or sometimes with just drag and drop. Countless services such as Microsoft Cognitive Services, IBM Watson services, Amazon AI services, and Google Cloud Machine Learning Platform, will help you to use Artificial Intelligence in your applications.

There are different ways in which you can understand the current trends in Artificial Intelligence, and how it can be applied to your industry. Attending conferences, webinars, reading articles is one of the ways. You will find countless case studies that explain how AI is applied in different industries, and how it is helping to generate more revenue and save costs. 

Carl Sagan has said – “We live in a society exquisitely dependent on science and technology, in which hardly anyone knows anything about science and technology.” 

 I will like to add that today we live in a society that is slowly starting to depend on Artificial Intelligence, but hardly anyone knows anything about Artificial Intelligence.” I hope you are not one of them.

Siddhesh Wagle,
Research Consultant,
Cere Labs. 
Labels:

Comments

  1. cynthiawilliams26 May 2019 at 04:57

    I feel happy to see your webpage and looking forward for more updates.
    Machine Learning course in Chennai
    Machine Learning Training in Chennai
    Data Science Course in Chennai
    Data Science Classes in Chennai
    R Training in Chennai
    R Programming Training in Chennai
    Data Science Training in Velachery
    Data Science Course in Anna Nagar

    ReplyDelete
  2. AdZis Inc.9 December 2021 at 09:59

    This information is meaningful and magnificent which you have shared here. I am amazed by the way you have explained things in this article. I am impressed by the details that you have shared in this post and It reveals how nicely you understand this subject. I would like to thanks for sharing this article here. Find AI Writer Online Free

    ReplyDelete

Post a Comment

Popular posts from this blog

How is AI Saving the Future

Meanwhile the talk of AI being the number one risk of human extinction is going on, there are lot many ways it is helping humanity. Recent developments in Machine Learning are helping scientists to solve difficult problems ranging from climate change to finding the cure for cancer. It will be a daunting task for humans to understand enormous amount of data that is generated all over the world. Machine Learning is helping scientists to use algorithms that learn from data and find patterns. Below is a list of few of the problems AI is working on to help find solutions which otherwise would not have been possible: Cancer Diagnostics : Recently, scientists at University of California (UCLA) applied Deep Learning to extract features for achieving high accuracy in label-free cell classification. This technique will help in faster cancer diagnostics, and thus will save a lot of lives. Low Cost Renewable Energy : Artificial-intelligence is helping wind power forecasts of u...
6 comments
Read more

In the World of Document Similarity

How does a human infer whether two documents are similar? This question has dazzled cognitive scientists, and is one area under which a lot of research is taking place. As of  now there is no product that is able to match or surpass human capability in finding the similarity in documents. But things are improving in this domain, and companies such as IBM and Microsoft are investing a lot in this area. We at Cere Labs, an Artificial Intelligence startup based in Mumbai, also are working in this area, and have applied LDA and Word2Vec techniques, both giving us promising results: Latent Dirichlet Allocation (LDA) : LDA is a technique used mainly for topic modeling. You c an leverage on this topic modeling to find the similarity between documents. It is assumed that more the topics two documents overlap, more are the chances that those documents carry semantic similarity. You can study LDA in the following paper: https://www.cs.princeton.edu/~blei/papers/BleiNgJordan20...
Post a Comment
Read more

Anomaly Detection based on Prediction - A Step Closer to General Artificial Intelligence

Anomaly detection refers to the problem of finding patterns that do not conform to expected behavior [1]. In the last article "Understanding Neocortex to Create Intelligence" , we explored how applications based on the workings of neocortex create intelligence. Pattern recognition along with prediction makes human brains the ultimate intelligent machines. Prediction help humans to detect anomalies in the environment. Before every action is taken, neocortex predicts the outcome. If there is a deviation from the expected outcome, neocortex detects anomalies, and will take necessary steps to handle them. A system which claims to be intelligent, should have anomaly detection in place. Recent findings using research on neocortex have made it possible to create applications that does anomaly detection. Numenta’s NuPIC using Hierarchical Temporal Memory (HTM) framework is able to do inference and prediction, and hence anomaly detection. HTM accurately predicts anomalies in real...
8 comments
Read more