AI for MNCs 🤖✨

Exploring the benefits which MNCs are getting from AI

Gauri Raskar
7 min readOct 18, 2020

What is AI 🤔:

Artificial intelligence (AI), is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans.AI systems will typically demonstrate at least some of the following behaviours associated with human intelligence: planning, learning, reasoning, problem solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity.

WHERE CAN YOU FIND AI : Everywhere 🕵🏻‍♀️

  • If you are using a smartphone, it indirectly means that you are enjoying the AI by knowingly or unknowingly
  • We also prefer the help from GPS for the long drives and trips.
  • While coming to the social media users based utilities, the artificial intelligence algorithm identifies and detects the person’s face and tags the individuals while we post the photographs on the social media sites.
  • AI is widely deployed and utilized by the financial institutions and banking sectors to organize and manage data. Detection Of Fraud uses one of the best advantages of an artificial intelligence involvement in the smartcard-based system transactions
  • Highly advanced organizations already implemented machines on behalf of humans to interact with their customers by using ‘avatars’. It is the digital assistants or replicas which will help to reduce the need for human resources.
  • Doctors/Physician assesses the patient’s health-related data and intimates the risk factors to the customers via the health care devices with the help of artificial machine intelligence.

“Artificial intelligence is kind of the second coming of software,” said Amir Husain, founder and CEO of machine learning company SparkCognition. “It’s a form of software that makes decisions on its own, that’s able to act even in situations not foreseen by the programmers. Artificial intelligence has a wider latitude of decision-making ability as opposed to traditional software.”

MNCs using AI 🤯:

1]Intel :

Sales and Marketing : Intel sales and marketing staff have traditionally used manual search and vendor tools in order to identify potential leads; however, these methods lack the ability to align with the internal language used by Intel staff to properly segment and tailor their outreach plans

The AI model acquires a constant stream of textual data from millions of sites, updating the multi-million node knowledge graph with gigabytes of data every hour, which then gets passed along to a set of machine learning models for segmenting potential customers.

“Our customer segmentation system is only one of the thousands of AI applications that will improve enterprises in the coming years,” wrote Intel. “[We expect to] find new and exciting ways to harness cutting-edge technology to move, store, and process data wherever it is best suited.”

Image recognition : A common challenge for businesses is having enough data to train image classification and recognition algorithms, and pre-processing of images can account for more than half the total time to solution. Intel® Xeon® processors can support applications for data augmentation to help overcome this. These applications rotate and scale images, and adjust the colors, meaning that fewer images are required to effectively train image recognition algorithms (depending on the use case).

Natural language processing : NLP uses a technique called recurrent neural network (RNN) and long short-term memory (LSTM), and when processing the loops and dependencies that characterize these operations theIntel® Advanced Vector Extensions 512 (Intel® AVX-512) instruction set also comes into its own.

Predictive maintenance : Predictive maintenance differs from image recognition and NLP in that it’s typically based on a much lower data rate, with information captured by sensors monitoring conditions at the edge. Ideally, as much compute as possible should also take place at the edge before going back to the cloud for analysis or a decision. The Intel® Movidius™ Neural Compute Stick, powered by a VPU, is ideally suited to accelerated deep learning development at the edge.

2] Facebook :

➤Facebook is building a business with long-term prospects where the role of Facebook Artificial Intelligence is unfathomable. Better yet, it is crucial.

➤Facebook has evolved as a platform enabling conversation and communication between people as a highly valuable source of knowing their lifestyle, interests, behavior patterns and taste inside and out. What do individual users like? What don’t they like?That’s where AI comes in. AI enables machines to learn to clarify data, all by themselves.

Maps : Through the use of AI, Facebook is now working to map the world’s population density. Today, Facebook’s maps cover the majority of Africa and it won’t be long before the whole world’s population is mapped. With the help of satellite imagery and AI, this tedious task is getting completed.

Translation : From an endless number of people operating Facebook all over the world, language has always been a barrier. This is simplified by Facebook Artificial Intelligence-based automatic translation system.

Chatbot : From automated subscription content like weather and traffic to customized communication like receipts, shipping notifications and live automated messages, using the site has become easier and more efficient with chatbots at our service. Facebook has a powerful and highly functional bot API for the Messenger platform

Bad Contents : The thorniest social media issues are always related to security and privacy. In addition to the already discussed, Facebook is using AI to detect content falling into seven main categories: nudity, graphic violence, terrorism, hate speech, spam, fake account and suicide prevention. AI helps identify fake accounts created for malicious purposes and shuts them down instantly.

3]Microsoft :

Microsoft is using AI technology and software to empower us to change the world.

➤AI for Earth puts AI technology and cloud software in the hands of those working to solve global climate issues

➤AI for Health empowers researchers and organizations with AI to improve the health of people and communities around the world.

➤Leveraging the power of AI to amplify human capability for the more than one billion people globally with a disability.

➤AI for Humanitarian Action partners with nonprofit and humanitarian organizations working to support disaster response, refugees, displaced persons, human rights, and the needs of women and children.

And many more….

4]Amazon :

➤In a recently posted blog, Amazon discussed using AI and machine learning to predict the context from their customers’ search queries. This system has been aimed to augment the quality of search results on platform, which indeed intended towards enhancing the overall Amazon’s shopping experience.

➤According to Amazon, predicting the intent of the query is a significant component of information retrieval which in turn, improves the relevance of the results through an understanding of latent user intents in addition to explicit query keywords. The researchers believe this might improve people’s shopping experience by matching only high-quality products to search queries.

5]Adobe :

➤Adobe Sensei AI can automatically recognize images in your Adobe Creative Cloud media library and suggest tags. Sensei also identifies elements within images, such as faces and buildings. That makes it easy for you to categorize and search, so you can find the right image when you need it.

➤Sensei also changes the way you interact with paper documents. Simply take a photo on your mobile device, and Adobe Sensei AI automatically converts it into a fully editable digital text — it will even match the fonts.

➤Adobe even added Sensei features recently which automatically personalize articles for individual readers. It can customize elements such as the phrasing of the content and the design of the page to best suit the customer’s predicted taste.

➤Sensei’s Automated Forms Conversion feature allows companies to automatically transform PDF forms into a website-like experience. This technology uses image recognition to identify fields and convert them into their functional equivalents within a much more straightforward interface — on both mobile and desktop.

So this was a Overview about How MNCs are evolving and gaining profits in every way possible because of AI and how our lives are evolving and getting better day by day with the help of AI, I hope you found this blog helpful….Your feedback is valuable and it will help me improve… clap if you like it.👏❤️