Although buzzwords like Artificial Intelligence, Machine Learning, Deep Learning are loud enough. Many of us still believe AI synonym to Robots. As stated by ZDNet – In one of the surveys conducted by Hubspot of more than 1,400 people from Ireland, Germany, Mexico, Colombia, UK, and the US, they found that many respondents did not know that they were already using AI.

However, of the respondents who said they had not used AI, 63 percent were using it. They just were not aware that they were.

Image Source ZDNet

And if you also thought that you are not using an Artificial Intelligence tool, lets sail through your daily activities to help you in figuring out AI tools that are now a necessity.

Google Maps/ Google Search/ Google Photos/ Google Translate

Yes, all of these default apps on your smartphone uses artificial intelligence and machine learning. As you start typing into the search field, the box responds with some of the search terms as suggestions. The suggestions shown are derived from looking for similar words you types, what is trending or your location.
Google photos, on the other hand, scan and identifies similar images and group them/animates based on date/occasion or people. It again uses artificial intelligence and is driven by robust algorithm to locate/group similar stuff.

With individuals sailing on foreign land, Google translate is another handy tool that was built using Artificial intelligence technology. Algorithms/programs used to read and analyze millions of existing translated documents and built specific vocabulary for a particular language. While a user types in a word in his preferred language, the programs look for the most suitable match and provides a translation in the desired language.

Email Filters

Ever wondered how an email lands into the spam folder when a user hasn’t manually selected it? Or why some emails are under promotions? It is again the magic woven by machine learning. The spam filter analyses the sender’s address tracks the network address maintain a list to be referred later,and as an email hits the recipients server, it scans against its data center and labels it appropriately.

Fraud Prevention

I remember when I was making a transaction through my credit card and twice entered incorrect CVV number. Within minutes I got a call from my bank asking if I am the one making a purchase or is it someone misusing the card. In fact, another incident when I was at my native place and logged into my bank account from a new IP, I was alerted via an email and an SMS – there is a new login from an unknown IP.
All of these fraud prevention techniques are possible because of Artificial intelligence as a monitoring tool.

Social Media

Social Media viz Facebook, Instagram, Twitter, Snapchat, Pinterest that are a lifeline to many uses Artificial Intelligence extensively. Facebook or FB uses AI to present you a personalized newsfeed,and even alters the post that you see on your page.
Instagram recently used AI to replace slang with emojis; just for e.g., if you type rofl it would suggest you emojis or hashtags and make emojis more meaningful.

AI is everywhere and expanding its reach on a daily basis. Although all of this is running in the background, we would love to see self-driving cars and kitchen appliances communicating to Siri, Cortana or Alexa. Possibilities are limitless.

The Million-Dollar AI Mistake: What 80% of Enterprises Get Wrong

By : Sampada

Published on Nov 26, 2024

AI Artificial Intelligence Data Science

When we hear million-dollar AI mistakes, the first thought is: What could it be? Was it a massive investment in the wrong technology? Did a critical AI application go up in flames? Or was it an overhyped solution that failed to deliver on its promises? Spoiler alert: it’s often all of these—and more. From overlooked data science issues to misaligned business goals and poorly defined AI projects, failures are a mix of preventable errors.

Remember Blockbuster? They had multiple chances to embrace advanced technology like streaming but stuck to their old model, ignoring the shifting landscape. The result? Netflix became a giant while Blockbuster faded into history. AI failures follow a similar pattern—when businesses fail to adapt their processes, even the most innovative AI tools turn into liabilities. Gartner reports nearly 80% of AI projects fail, costing millions. How do companies, with all their resources and brainpower manage to bungle something as transformative as AI?

1. Investing Without a Clear Goal

Enterprises often treat artificial intelligence as a must-have accessory rather than a strategic tool. “If our competitors have it, we need it too!” they exclaim, rushing into adoption without asking why. The result? Expensive systems that yield no measurable business outcomes. Without aligning AI’s capabilities—like natural language processing or generative AI solutions—with goals such as boosting customer experience or driving operational efficiency, AI becomes just another line item in the budget.

2. Data Woes

AI is only as smart as the data it’s fed. Yet, many enterprises underestimate the importance of clean, structured, and unbiased data. They plug in inconsistent or incomplete data and expect groundbreaking insights. The result? AI models that churn out unreliable or even harmful outcomes.

Case in Point: A faulty ATS filtered for outdated AngularJS skills, rejecting all applicants, including a manager’s fake CV. The error, unnoticed due to blind reliance on AI, cost the HR team their jobs—a stark reminder that human oversight is critical in AI systems.

3. Underestimating the Human Element

AI might be powerful, but it does not replace human judgment. Whether it’s an AI assistant like Claude AI or OpenAI’s ChatGPT API, Enterprises often overlook the need for human oversight and fail to train employees on how to interact with AI systems. What you get is either blind trust in algorithms or complete resistance from employees, both of which spell trouble.

4. Stuck in Experiment Mode

AI adoption often stagnates when businesses fixate on piloting instead of scaling. Tools like DALL-E or MidJourney may excel in proofs of concept but lack enterprise-wide integration. This leaves companies in an endless cycle of testing AI applications, wasting resources without realizing full-scale business value.

5. Ignoring Change Management

Transitioning to AI technology is as much about organizational culture as it is about deploying AI models. Mismanagement, such as overlooking ethical AI considerations or failing to explain AI’s impact on roles, leads to resistance. Whether it’s a small chatbot AI tool or full-scale AI automation, fostering employee buy-in is critical.

How to Avoid These Pitfalls

Start with Strategy: Define clear objectives for adopting artificial intelligence programs.
Invest in Data: Build a robust data infrastructure. Clean, unbiased, and relevant data is the foundation of any successful AI initiative.
Prioritize Education and Oversight: Train teams to work with AI and establish clear guidelines for human-AI collaboration.
Think Big, but Scale Smart: Start with pilots but plan to expand AI in finance, healthcare, operations or other areas from day one.
Focus on Change Management: Communicate the value of tools like AI robots or AI-driven insights to teams at all levels.

Graph of AI adoption across different countries

Mantra Labs is Your AI Partner for Success

At Mantra Labs, we don’t just offer AI solutions—we provide a comprehensive, end-to-end strategy to help businesses adopt the complex process of AI implementation. While implementing AI can lead to transformative outcomes, it’s not a one-size-fits-all solution. True success lies in aligning the right technology with your unique business needs, and that’s where we excel. Whether you’re leveraging AI in healthcare with tools like poly AI or exploring AI trading platforms, we craft custom solutions tailored to your needs.

By addressing challenges like biased AI algorithms or misaligned AI strategies, we ensure you sidestep costly pitfalls. Our approach not only simplifies AI adoption but transforms it into a competitive advantage. Ready to avoid the million-dollar mistake and unlock AI’s full potential? Let’s make it happen—together.

Loading More Posts