The first day of the Google I/O 2018 consisted over 5,000 developers, designers, and managers gathered at Shoreline, Amphitheatre to witness the opening day with a keynote by Google CEO Sundar Pichai.

Let’s dive into the key announcements that were made!

Google I/O: Android P

Google launched Android P, the latest version of the operating system that runs on Android devices. The Android P beta is available for certain devices such as the Essential Phone, Google Pixel 2, Nokia 7 plus, Sony Xperia XZ2, Vivo and Xiaomi Mi Mix 2S. Users of these devices can update to Android P beta immediately. There are a bunch of features that Google added to Android P.

Shush: This feature ensures that there are no notifications coming in from your apps when your phone is turned face down.
App Dashboard: This is a dashboard that shows how much time you spend on your apps each day. This allows you to know which apps you spend so much time on.
App Timer: With the app timer, you’d get a notification when you spend more than the allocated time specified for engaging with an app.
Slices and Actions: A slice is a piece of app content and action that can be surfaced outside of the app without opening the app itself. They are UI templates that can display rich and interactive content from your app within the Google Search app.

Google I/O: AI in Google

Google AI

Google has worked hard over the last few years on improving every aspect of their products with AI and Machine Learning. This year they made some key announcements about new products and also the existing products that are improved with AI. Google announced that its research division has been rebranded to Google AI. This rebranding came as a result of Google’s continued focus on Computer vision, Natural language processing, and neural networks.

Google Assistant

The Google Assistant has been greatly improved. It will be available in 6 new voices including the voice of popular musician, John Legend. Furthermore, Google announced a new technology called Duplex, it is an AI system for natural conversations that’ll enable your Google Assistant to make conversations on your behalf like a lunch reservation at a restaurant, and setting up a meeting.

Until now every time we need the Google Assistant to do something, we usually start every conversation with Hey, Google! Now, we don’t have to do that anymore because the Google Assistant now has support for continued conversations. Google Assistant also has a new feature called Pretty Please. This feature was added to help train kids to avoid being commanding when asking for favors. With the new Pretty Please feature, kids can be taught to always make polite requests.

Google Lens

The Google Lens is also updated with some amazing new features. Now, Google Lens allows you copy-paste text from a photo in the real world to your phone. It also provides the ability to take a photo and instantly provide information about the objects and landmarks in the photo. Google Lens introduced Style Match. With Style Match, you could take a photo of a fashion item such as a shirt, blouse, shoe, or a fancy lamp. Once captured, a blue dot appears on the photo. Tap the dot, and Google Lens will provide lists of items similar to it. What a time to be alive!

Google Maps

Google announced better navigation for Google Maps aided by AI. The Google Maps was difficult for users that are not familiar with the North, South, West, East form of directions. The new Google Maps provides a street view with a very obvious direction sign. With Google Assistant in navigation in Google Maps, it provides users a better description of routes. It also adds a navigation animal that allows the map user quickly identify the route to take.

Google News

Google is keen on getting users a seamless way of catching up with news all over the world. Google is rolling out a new AI improved version of the Google News product that provides an great way to catch up with events around the world. This improved product replaces Google Play Newsstand and Google News app. It will be available on Android, iOS and the web in 127 countries by next week.

Stay tuned for more updated from Google I/O 2018!!

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.

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