#How to USE Google Bard AI Chatbot

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They explore the impact of AI on marketing, the changing job landscape, and the importance of balancing AI with human skills. They also provide valuable insights on how to prepare and educate yourself to stay ahead in the AI-powered marketing arena. For more click here

[smarttechnoguide]

ChatGPT Tutorial in HINDI | What is Chat GPT Microsoft launches - How to USE Google Bard AI Chatbot

[brotrustmeicanwrite]

I fucking hate AI but heavens would it be useful if it wasn't such an unethical shit show

First, just to be clear, I'm talking about actually using AI as a tool to support your writing process, not to generate soulless texts made from stolen data instead of writing yourself.

Back when ChatGPT first became available it was still pretty useless so I had a lot of time to learn about how it's made, how it works and the ethics of it before ever touching the technology. I decided pretty quickly to never use it to generate text (or images) for actual writing and art but I still wanted to experiment with what else it could do (because I'm a nosy bitch that needs to know and poke everything).

And HEAVENS was it a blessing for writing with adhd

The last time I wrote more than 200 words in a day (outside of school work obviously) was 7th grade. I wrote over 8k just in notes the day Google's "Gemini" (formerly "Bard") became available to the public.

In order to not jeopardize my existing work I decided to make a completely new story with Bard's help that wasn't linked in any way to anything I had made before. So I started with a prompt along the lines of "I need help writing a story". At first, it immediately started generating a completely random story about a green tiger but after some trial and error, I got it to instead start asking questions.

What do you want the theme of your story to be?

What genre do you want to write in?

What time period do you want your story to take place in?

Is there magic?

Are there other sentient creatures besides humans?

And so on and so forth. Until the questions became extremely specific after covering all the bases. I could tell that all I was doing was essentially talking to an amalgamation of every "how to write" blog and website you've ever seen and telling it which part I wanted to work on next but it still felt great because the AI didn't actually contribute anything besides a few suggestions of common tropes and themes here and some synonyms and related words there; I was doing all the work.

And that's the point.

Nothing in that exchange was something I couldn't easily do on my own. But what happened was that I had turned what is usually a chaotic mess of a railway network of thoughts into a clear and most importantly recorded conversation. I can sit down and answer all those questions on my own but what usually happens when I do, is that every thought I have branches out into 4-7 new ones which I then attempt to record all at once (which obviously doesn't work, yay adhd) only to end up lost in thought with maybe 20 lines of notes in total after 6 hours at the table. Alternatively, either because I get bored or just because, I get distracted by something or my own thoughts about a different unrelated topic and end up with even less.

Working within the boundaries of a conversation forces you to focus on one specific question at a time and answer it to progress. And the engagement from the back and forth is just enough entertainment to not get bored. The six hours I mentioned before is the time I spent chatting with what is essentially a glorified chatbot that day, way less time than what I spent on any other project, and yet I have more notes and a clearer image of the story than I do about any of my real work. I have a recorded train of thought.

In theory, this would also work with a real human in a real conversation but realistically only very few people have someone who would be willing to do that; I certainly don't have a someone like that. Not to mention that someone doesn't always have time. Besides that, a real human conversation involves two minds with their own ideas, both of which are trying to contribute their own thoughts and opinions equally. The type of AI chat that I experimented with, on the other hand, is essentially just the conversation you have with yourself when answering those questions, only with part of it outsourced to a computer and no one else butting into your train of thought.

On that note, I also tried to get it to critique my writing but besides fixing grammatical errors all that thing did was sing praises as if I was God. That's where you'll 100000% need humans.

tl;dr writing with AI as an assistant has basically the same effect as body doubling but it’s an unethical shit show so I’m not doing it again. Also I forgot to mention I did repeat the experiment for accuracy with different amount of spoons and it makes me extra bitter that is was very consistent

[neebifytool]

How to use bard?

Bard is a new AI chatbot from Google which promises to be the source of real-time information and conversational answers to most questions. To deliver coherent, context-aware responses, it relies on Google's Language Model for Dialogue Applications, LaMDA. Bard is fantastic when the topic of interest deals with current events or information that constantly updates-and could answer anything from trivia to facts. It has entered the competitive landscape of AI-driven tools like OpenAI's ChatGPT and Microsoft's Bing AI.

A person can get access to Bard through the Google website and also by searching for "Google Bard" in a browser. After accessing Bard, one can ask questions, make the most of the conversation, receive immediate responses, and share responses for productivity.

On a PC, users access Google Bard via the browser interface. Open Google Chrome, Firefox, or Edge and go to the Google Bard website. Sign in to your Google account to get personalized answers and recall conversation history.

It's pretty easy to start a conversation by starting with Bard, and the users can save the page as a bookmark so as not to visit again.

Bard has gained popularity among students and professionals and curiously inquisitive minds seeking help or information that have quite proved useful.

Google Bard is an AI-powered chatbot that can be accessed directly via a web browser or downloaded from the Google Bard website. To access Bard on the phone, one shall go to the mobile browser and visit the website of Google Bard. Log in using your Google account; type out your question; and activate voice search. To use Bard with Google: Ensure it is available in your location. Please have the latest version of Google Chrome available. Always ensure that you are logged into your Google account. Verification of your privacy settings.

If Bard is not available, some regions have integrated it into Google Search. Open its interface, type your question, try specific queries, ask follow-up questions, and test creative features to ask questions to Bard. Bard can be used for simple routine tasks, challenging questions, and creative work.

Therefore, Google Bard is a friendly and approachable AI chat that tends to make information retrieval as easy as it can be for people. It is decidedly different from any other search engine since it captures real-time data and gives conversational responses. Useful tool for the simplest of tasks or more creative pursuits: Google Bard is an excellent tool in different uses, ranging from mundane day-to-day errands to creative activities, all set for accessing basic tasks or questions that are complex.

[whyyoualwayssoradical]

Nonconsensual deepfake pornography is just a click away on popular search engines like Google and Microsoft’s Bing.

Deepfake pornography often grafts a person’s face into a real pornographic scene — for example, a famous woman’s face will be “swapped” with an adult star’s face, making it appear that the famous woman is nude or engaged in a sexual act.

NBC News found that deepfake pornographic images featuring the likenesses of female celebrities were the first images Google and other top search engines surfaced in searches for many women’s names and the word “deepfakes,” as well as general terms like “deepfake porn” or “fake nudes.” The searches were conducted with safe-search tools turned off.

Legal experts, advocates and victims say nonconsensual deepfake porn has grown into a crisis, and they’re asking tech platforms to step up where laws and law enforcement have yet to take action. A growing number of states have enacted or introduced laws to govern the use of deepfakes, particularly in elections, but nonconsensual deepfake porn has only continued to spread.

NBC News searched the combination of a name and the word “deepfakes” with 36 popular female celebrities on Google and Bing. A review of the results found nonconsensual deepfake images and links to deepfake videos in the top Google results for 34 of those searches and the top Bing results for 35 of them. More than half of the top results were links to a popular deepfake website or a competitor. The popular deepfake website has cultivated a market for nonconsensual deepfake porn of celebrities and private figures.

Googling “fake nudes” returned links to multiple apps and programs to create and view nonconsensual deepfake porn in the first six results, followed by six articles about high school boys’ allegedly using the technology to create and share deepfake nude images of their female classmates. On Bing, searching “fake nudes” returned dozens of results of nonconsensual deepfake tools and websites before surfacing an article about the harms of the phenomenon.

Bing’s AI chatbot, Copilot, which appears as an option for search results, tells users that it can’t show them deepfake porn. Copilot says, “The use of deepfakes is unethical and can have serious consequences.” But dozens of links to and examples of nonconsensual deepfake porn are a click away on Bing.

The findings underscore the growing prevalence of nonconsensual deep fake pornography and call into question what action technology companies are taking to limit their spread, even as tech companies are pouring resources into AI initiatives like Google’s Colab and Bard and the products from OpenAI, in which Microsoft is a major investor. Google’s lack of proactive patrolling for abuse has made it and other search engines useful platforms for people looking to engage in deepfake harassment campaigns, according to experts.

Google’s core web results don’t have policies about AI-generated content, but Google said its search features, like panels with selected information, don’t allow manipulated media or sexually explicit content. Google’s Play app store forbids “apps determined to promote or perpetuate demonstrably misleading or deceptive imagery, videos and/or text.” However, Google’s Play Store continues to host an app that has previously advertised the creation of pornographic deepfakes.

Google allows deepfake victims to request the removal of such content from search results through a form, but it isn’t proactively searching for and delisting deepfakes itself. The takedown request page says, “We only review the URLs that you or your authorized representative submit in the form.”

A Google spokesperson said in a statement: “We understand how distressing this content can be for people affected by it, and we’re actively working to bring more protections to Search. Like any search engine, Google indexes content that exists on the web, but we actively design our ranking systems to avoid shocking people with unexpected harmful or explicit content that they aren’t looking for.

“As this space evolves, we’re in the process of building more expansive safeguards, with a particular focus on removing the need for known victims to request content removals one-by-one,” the statement continued.

While Google dominates search engine traffic, alternative search engines like Microsoft’s Bing and the independent search engine DuckDuckGo also feature fake nude images of celebrity women in search results. The content featured on top image search results for Bing includes fake nude photos of former teen Disney Channel female actors, and some of the images use pictures of their faces that appeared to be taken before they turned 18. (A reverse image search for some of the faces used in some of the photos returned results that were posted online before the actors turned 18.)

A spokesperson for Microsoft also pointed to a form where victims of nonconsensual intimate imagery (NCII) can report it appearing in Bing search results. In August 2023, Microsoft clarified that it considers sexually-explicit deepfakes to fall under its NCII policy.

The Microsoft spokesperson said in a statement: “The distribution of non-consensual intimate imagery (NCII) is a gross violation of personal privacy and dignity with devastating effects for victims. Microsoft prohibits NCII on our platforms and services, including the soliciting of NCII or advocating for the production or redistribution of intimate imagery without a victim’s consent."

[webbuddyllc]

Our Latest Artificial Intelligence projects

WhopMe AI is a groundbreaking project that democratizes access to advanced AI models such as ChatGPT4, Google Bard, and Bing Chat. It addresses the limitations of AI accessibility and provides solutions for code writing, refactoring, and conversion. The project also explores the realm of image generation and manipulation using tools like DALL·E-2 and Stable Diffusion.

WhopMe AI simplifies the process of training and deploying custom AI chatbots, eliminating the need for extensive technical know-how. The platform also offers personalized AI features like Weather GPT, Interior AI, and Movie Recommendation AI, catering to a wide range of user requirements. It stands as a testament to Webbuddy's commitment to harnessing AI technology to deliver innovative, user-friendly solutions.

[globsynbusinessschool]

ChatGPT vs. Gemini vs. Copilot

The rise of AI chatbots has been fast, with more options becoming available to users. These bots are becoming a regular part of the software and devices we use every day.

Just like choosing an email provider or music app, you can now pick your favorite AI chatbot too. We’ve tested three of the most popular ones to help you decide which might be right for you.

Aside from these, there are others like Perplexity and Claude, but our focus here is on the biggest names: OpenAI's ChatGPT, Google's Gemini, and Microsoft’s Copilot.

We’ve tested each bot and included three standard challenges for evaluation. We asked for "a fun game idea for a 5-year-old’s birthday party," "a new smartphone app concept," and "instructions for resetting macOS."

In this blog, we're comparing the free versions of these chatbots available at the time of writing.

Which One Is Best for Regular Users? ChatGPT or Gemini or Copilot

 ChatGPT powered by OpenAI

ChatGPT, developed by OpenAI, has been a leader in generative AI. It's widely accessible through web browsers on computers and mobile apps for Android and iOS. The platform has made headlines recently with announcements from OpenAI, including updates on their latest models and features.

There's a significant difference between the free and $20-per-month Plus versions of ChatGPT. The Plus version offers extra features like image generation and document scanning. Subscribers can also create their own GPTs with custom prompts and data. OpenAI's CEO, Sam Altman has mentioned that these enhancements are part of their strategy to democratize AI.

ChatGPT Plus provides access to the latest GPT-4 models, whereas the free GPT-3.5 is good for basic AI interactions. It's quick and versatile but lacks web link references like Copilot for fact-checking. The open AI search engine, one of the key initiatives, helps improve the platform's information processing capabilities.

Choosing ChatGPT is ideal for those interested in cutting-edge AI development. However, it's more effective with a paid subscription rather than on a budget. Apple's involvement with OpenAI has also fueled further interest in the platform.

In testing, ChatGPT performed reasonably well. It suggested a themed musical statues game for kids and a health-focused smartphone app named FitTrack.

Gemini powered by Google

Formerly known as Google Bard, Gemini is available as a web app and on Android and iOS. There are free and paid ($20 per month) plans.

Paying for Gemini gets you access to newer, smarter models. The interface resembles ChatGPT, and it integrates well with other Google services.

Gemini is suited for Google product users. It provided sensible responses to our challenges and suggested a neighborhood item-sharing app and a twist on the classic party game.

Copilot powered by Microsoft

Copilot is integrated into many Microsoft products like Bing and Windows. It’s available as a web app and mobile app.

Copilot uses Microsoft’s Bing search engine and often provides web links with citations. It's conversational and offers various text output settings.

The AI behind Copilot is OpenAI’s GPT-4, with different settings for text output: More Creative, More Balanced, and More Precise.

Copilot suggested "What’s the Time, Mr. Wolf?" for the kids' game and a virtual interior design app for smartphones. Its macOS reset instructions were accurate and cited from Apple’s support site.

If you use Microsoft products heavily, Copilot is a natural choice. It excels at referencing web information and providing clear citations.

In conclusion, all three—ChatGPT, Gemini, and Copilot —can be used for free, allowing you to choose based on your preferences. Copilot offers the most AI features without payment, ChatGPT is highly competent with a subscription, and Gemini is ideal for Google fans.

Frequently Asked Questions (FAQs)

How Do Chatbots Understand Language Differently Than a Programming Language?

Chatbots and programming languages are different in how they understand language.

Programming languages like Python or Java are structured and strict. They need exact commands and follow clear rules to work. If you make a mistake, the program won't function correctly.

Chatbots, on the other hand, are designed to interpret human language. They use techniques like Natural Language Processing (NLP) to understand words, phrases, and even context. This allows them to grasp the meaning behind what people say, even if the words are not in a set pattern.

A chatbot can recognize synonyms (different words with similar meanings), understand the intent behind a sentence, and learn from the interactions it has with users. This flexibility is what sets chatbots apart from programming languages, which rely on strict instructions to perform tasks.

What Does the Generative AI Ecosystem Refer to?

The term "generative AI ecosystem" refers to a network of technologies, tools, and methodologies that use artificial intelligence (AI) to create or generate content autonomously. This ecosystem encompasses various AI models and algorithms designed to produce new and unique outputs based on learned patterns and data.

In simpler terms, generative AI involves systems that can generate things like text, images, music, or even video without direct human input for each specific output. These systems learn from large datasets and then use that knowledge to create new content that resembles what they've been trained on.

This ecosystem includes a range of technologies such as language models (like GPT), image generators (like DALL-E), and music composers that are able to produce content that is novel and, in many cases, convincingly human-like. The ultimate goal of the generative AI ecosystem is to automate and enhance creative processes across various domains, potentially transforming how we create and interact with digital content.

[kajalbasolanki]

Top AI Digital Marketing Training in Vadodara | ACS TechHub

In today’s fast-paced digital age, Artificial Intelligence (AI) is revolutionizing the marketing landscape. From predictive analytics and chatbots to automation and personalized content, AI is transforming how businesses engage with their audience. As demand for AI-savvy marketers grows, the need for high-quality, industry-relevant training becomes more critical than ever. If you're looking to build a future-ready career in AI-powered marketing, ACS TechHub offers the Top AI Digital Marketing Training in Vadodara, combining expert-led instruction with real-world application.

Why AI is the Future of Digital Marketing

AI isn’t just a buzzword; it’s a transformative force in the marketing world. Businesses are leveraging AI to:

Analyze large datasets for customer behavior insights

Personalize user experiences in real-time

Automate content creation and campaign management

Enhance customer support with AI chatbots

Improve ROI through precision targeting

With such widespread applications, professionals with AI-integrated digital marketing skills are in high demand across industries.

Vadodara – An Emerging Hub for Digital Talent

Vadodara is rapidly growing as a center for tech education and IT services. As businesses increasingly turn to digital platforms, the city has seen a surge in demand for marketing professionals trained in the latest technologies. Institutes offering digital marketing courses have proliferated, but few integrate AI in a structured and practical way. That’s where ACS TechHub stands out.

Why Choose ACS TechHub?

ACS TechHub has built a strong reputation as a leader in technical training and career development in Gujarat. Their Top AI Digital Marketing Training in Vadodara goes beyond theory, focusing on real-time case studies, hands-on projects, and AI tools that are currently being used by leading global brands.

Key Highlights of the Program:

h2: Expert-Led Curriculum

ACS TechHub’s course is designed by experienced professionals who have deep knowledge of both digital marketing and AI. The curriculum is updated regularly to reflect industry changes and emerging tools.

Real-World Projects and Case Studies

Students don’t just learn concepts—they apply them. From AI-driven ad optimization to chatbot integration and sentiment analysis, learners work on real-world assignments to build job-ready skills.

Comprehensive Module Structure

The program includes a wide range of modules such as:

Introduction to Digital Marketing

SEO and AI-based Keyword Research

AI-Powered Content Marketing

Email Marketing Automation

Chatbot Development with AI

Predictive Analytics in Marketing

AI Tools: ChatGPT, Google AI, Jasper, SEMrush, and more

Hands-On Tool Training

ACS TechHub ensures students gain practical exposure to tools used by professionals:

Google Analytics 4

HubSpot and Salesforce AI

ChatGPT and Bard for content generation

Canva AI for creative design

Mailchimp and ActiveCampaign for marketing automation

Personalized Mentoring and Career Support

Beyond technical training, ACS TechHub provides one-on-one mentoring, resume building, mock interviews, and job placement assistance. This end-to-end support makes it easier for students to land roles in digital marketing agencies, eCommerce companies, and tech firms.

Flexible Learning Options

Whether you're a college student, a working professional, or a business owner, ACS TechHub offers flexible class schedules—weekend batches, fast-track modules, and even online learning options.

Who Should Enroll in This Program?

Marketing professionals looking to upskill with AI tools

Students aspiring to a career in digital marketing

Business owners wanting to improve ROI through automation

Freelancers aiming to offer premium digital marketing services

IT professionals looking to switch careers

No prior experience in coding or digital marketing is required. The program is designed to start from the basics and build up to advanced, AI-integrated strategies.

Benefits of AI-Driven Digital Marketing Skills

Having AI-driven marketing skills gives you a competitive advantage in today’s job market. With these capabilities, you can:

Optimize marketing campaigns faster and more efficiently

Deliver highly personalized customer experiences

Use data to make smarter marketing decisions

Improve customer engagement and retention

Reduce costs and boost ROI

Employers value professionals who can combine creativity with data-driven decision-making, and this is exactly what ACS TechHub’s training instills.

ACS TechHub’s Industry Connections

With strong ties to local and international businesses, ACS TechHub helps students connect with real-world employers. Alumni have gone on to work with major brands, startups, and agencies across India and beyond. Their placement support includes:

Resume and LinkedIn profile reviews

Internship opportunities

Access to an exclusive job portal

Live projects with companies during the course

Testimonials from Alumni

“The AI Digital Marketing course at ACS TechHub gave me the skills I needed to stand out in a competitive job market. I landed a digital marketing executive role within a month of completing the program!” — Ritika S., Vadodara

“As a business owner, I was struggling to manage campaigns effectively. This course helped me automate key processes and drive better results with fewer resources.” — Karan P., Entrepreneur

If you’re ready to future-proof your career or business, enrolling in the Top AI Digital Marketing Training in Vadodara | ACS TechHub is a smart move. Combining innovation, expertise, and hands-on learning, this program prepares you to lead in a digital world increasingly powered by artificial intelligence.

Whether you're starting out or looking to scale your digital marketing skills with AI, ACS TechHub offers the resources, guidance, and industry exposure to take your career to the next level.

[jamtechtechnologies]

What Is the Difference Between AI and Generative AI

Artificial Intelligence (AI) is reshaping industries, powering everything from chatbots and voice assistants to fraud detection and self-driving cars. But in recent years, a powerful subfield of AI has gained momentum: Generative AI.

While both terms are often used interchangeably, there’s a clear distinction between AI and Generative AI in terms of function, purpose, and output.

In this article, we’ll explore what AI is, what Generative AI is, and the key differences between them, along with real-world examples.

What Is Artificial Intelligence (AI)?

Artificial Intelligence (AI) is a broad field of computer science focused on creating systems that can perform tasks that normally require human intelligence.

These tasks include:

Learning from data (Machine Learning)

Recognizing patterns (Computer Vision)

Understanding language (Natural Language Processing)

Making decisions (Expert Systems)

Examples of AI:

Google Maps using real-time traffic predictions

Siri or Alexa understanding voice commands

Netflix recommending movies based on viewing history

Spam filters in your email

What Is Generative AI?

Generative AI is a subset of AI that focuses on creating new content, such as text, images, code, music, and even video. Unlike traditional AI, which is designed to analyze or classify existing data, Generative AI learns from existing data to generate something new and original.

Examples of Generative AI:

ChatGPT generating human-like conversations

DALL·E creating images from text prompts

GitHub Copilot writing programming code

Runway or Sora by OpenAI generating video content

Key Differences Between AI and Generative AI

Feature

AI (Artificial Intelligence)

Generative AI

Definition

Broad field of simulating human intelligence

Subfield focused on creating new content

Goal

Automate decision-making, classification, tasks

Generate text, images, music, or code

Examples

Fraud detection, recommendation engines, search

ChatGPT, DALL·E, Bard, Claude

Output Type

Predictions, classifications, decisions

Creative or synthetic content

Learning Type

Supervised or reinforcement learning

Often uses unsupervised or transformer-based learning

Interaction Style

Analyzes and reacts to input

Responds and generates novel outputs

How Are They Connected?

Generative AI is a subset of AI. Think of AI as the umbrella, and Generative AI as a specialized branch under it.

While all Generative AI is AI, not all AI is generative.

AI = Make decisions, predictions, analyze

Generative AI = Create new data, content, or responses

Real-World Applications

AI in Business:

Chatbots for customer service

Predictive analytics in marketing

Fraud detection in finance

Personalized shopping experiences

Generative AI in Business:

Writing marketing copy

Creating social media graphics

Generating product descriptions

Assisting developers with code generation

Is Generative AI More Risky?

Generative AI comes with unique challenges such as:

Misinformation (fake news, deepfakes)

Bias and hallucination in generated content

Copyright concerns (generated images, music)

However, ethical frameworks and safety tools are being developed to ensure responsible use of Generative AI.

Conclusion

So, what is the difference between AI and Generative AI?

AI helps machines think, act, and make decisions like humans.

Generative AI helps machines create like humans—writing text, generating art, or composing music.

Both are revolutionizing how we work, live, and create—but Generative AI is taking automation to a new level by blending creativity with computation.

[coredgeblogs]

AI Inference Explained: How It Powers Real-Time Machine Learning Applications

Hey there, tech tribe!

Ever imagine how your Netflix queue mysteriously understands you’ll love that new sci-fi flick or how your virtual assistant replies to your questions quicker than you can say “Sovereign AI”? Let’s talk about something behind the scenes of AI that is undeniably doing the heavy lifting in your preferred smart applications but doesn’t get nearly adequate hype. Meet the unsung hero: AI Inference, which is the secret sauce behind these instant, brainy responses. At Innovative AI and edge computing and iot Tools | Coredge.io , we’re all about employing inference AI to power real-time machine learning applications with a splash of localized flair, thanks to our expertise in Sovereign AI So, hang tight with a cup of coffee as we will explain about AI inference, how it powers real-time applications, and why it's crucial for everything from Sovereign AI to your Netflix recommendations.

So... What Exactly is AI Inference?

Inference, to an amateur person, is a conclusion based on evidence and reasoning. In artificial intelligence, the process of using a trained machine learning model to make predictions or decisions on new, unseen data is known as AI inference. AI inference is the process of using a trained machine learning model to make predictions or decisions on new, unseen data. It's the juncture where trained AI models employ their learned knowledge in real-time scenarios, enabling real-time decision-making in machine learning applications like chatbots, self-driving cars, and recommendation systems.

Picture AI as a brilliant chef. Training an AI model involves lots of trial and error like the chef perfecting a recipe in a culinary school. But inference? That’s the chef quickly preparing your favourite dish in seconds, using the recipe to deliver delectable results. In tech terms, inference is when a trained AI model takes new data (like your movie preferences) and makes predictions or decisions (like suggesting Dune-part 2). This process, known as inference AI, is what makes your apps feel lightning-fast and intuitive.

Pretty cool, right?

Understanding AI inference is an important step in grasping how artificial intelligence works. We’ll cover the steps involved, what inference is, types, challenges, use cases, and the future outlook. 

Types of Inference:

An enterprise can choose AI inference out of the different types depending on its AI application requirements. Streaming inference (with its measurement capabilities) is likely the most suitable choice if a business is looking to build an AI model to be used with an Internet of Things (IoT) application. Online inference (with its LLM capabilities) would be worthwhile if an AI model is designed to interact with humans. Let’s introspect on the three types of AI inference and the characteristics that will help you settle on the best model for your project.

Batch Inference.

By using large batches of data, batch inference generates AI predictions offline. When outputs are required in a few seconds or less, batch inference is not ideal for such situations. However, it’s a good fit for bringing AI predictions that are updated regularly throughout the day or over the course of a week.

Online Inference

For online inference, building a system requires different upfront decisions. The fastest kind of AI inference is dynamic inference, also known as online inference, and is used in the most popular LLM AI applications, such as OpenAI’s ChatGPT, and Google’s Bard.

Streaming Inference

Streaming inference is often employed in Internet of Things systems, and it’s not an ideal set-up to interact with people the way an LLM does. Instead, streaming inference uses a pipeline of data, normally supplied through regular measurements from machine sensors. It flows into an ML algorithm that then constantly makes predictions, such as a power plant or traffic being monitored using an AI in a city via sensors connected to the internet, relying on streaming inference to make their judgements.

Why Inference is the star of Real-Time Apps:

Let’s get real: nobody prefers lag. Speed is the key in today’s world, whether it’s a self-driving car ducking obstacles or a fraud detection system signalling a shady transaction. That’s where inference latency comes in, the time it takes for an AI to process data and spit out a result. High latency? Your car might be a second too late. Low latency? Smooth sailing!

How Does AI Inference Work?

To provide value in a specific use case for AI inference, many processes must be pursued, and many decisions must be made around technology architecture, model complexity, and data. AI inference is the procedure where a trained AI model applies its learned knowledge to new, unseen data to make decisions or predictions.  Here's how it works:

Trained Model Application: An AI model extracts patterns and learns to generalise from them after massive training on curated datasets.

Real-Time Application: The model exercises this learned knowledge during inference to process real-time data inputs.

Prediction or Decision Making: The algorithms are applied to the input data by the AI model, producing outputs such as classifications, predictions, or decisions.

Final Step in AI Process: The operational phase is represented by Inference, where AI models display their utility by applying learned insights to practical scenarios.

Okay, let’s understand this without the techy jargon. Imagine you’re Netflix’s AI, and a user clicks “play.” Here’s the inference flow:

Input: The AI receives details (data) of the user’s watch history (lots of thrilling movies).

Model Magic: This data is utilised by the trained model (the “recipe”) to analyse using its learned patterns.

Output: Boom! The AI suggests Furiosa: A Mad Max Saga in milliseconds.

This electrifying process banks on AI inference engines, which we at Innovative AI and edge computing and iot Tools | Coredge.io supercharge with Sovereign AI. Why Sovereign AI? It keeps your data secure and local, so your movie picks don’t end up on a server halfway across the globe and deprive you of the ultimate fun.  It’s like having a private chef who never leaves your kitchen!

Use cases of Inference AI:

Healthcare: In analysing patient data, AI inference aids in predicting health risks and recommending tailored treatments.

Predictive Maintenance: It forecasts equipment failures by evaluating sensor data, and optimizing maintenance schedules.

Natural Language Processing: Large language models use AI inference to interpret and generate text, boosting chatbots and language translation.

Autonomous Vehicles: From cameras and sensors, inference AI processes real-time data to make driving decisions.

Financial Services: Banks’ AI flags fraud patterns by evaluating transaction histories, and improving security.

The Challenges:

Let’s be practical:  inference AI isn’t all sunshine and rainbows. Things can be slowed down due to high inference latency and running complicated models on limited hardware. That’s like suggesting a chef prepare a six-course meal with a single burner. Plus, resources can be drained faster by power-hungry models than a binge-watching marathon.

But no need to fear! Optimisation is our jam. Techniques like quantisation (making models leaner) and model pruning (trimming the fat) keep things lively. At Innovative AI and edge computing and iot Tools | Coredge.io , our AI inference engines are built to confront these challenges, ensuring your apps run securely, smoothly, and sustainably.

The Future of Inference is Sovereign, Scalable & Smarter

We’ll need scalable, fast, and secure inference everywhere as AI adoption has exploded like anything from cloud-native platforms to edge computing setups. That’s why companies (like Ahem, Innovative AI and edge computing and iot Tools | Coredge.io ) are gunning to build infrastructure that supports Sovereign AI use cases with ultra-efficient inference engines. AI inference will play a leading role, whether you're deploying models across multiple regions or ensuring compliance with strict data laws.

Final Thoughts:

AI inference might not hog as much limelight as model training, but it’s the actual MVP (Minimal Viable Product) in real-time machine learning applications.  What makes AI feel truly magical is from decrease in inference latency to deploying optimised models across sovereign environments.

So next time you're doing chit-chat with a chatbot, unlocking your phone with your face, or getting a terrifyingly accurate movie suggestion, remember it: inference made it happen.

Stay curious, stay optimised, and for more insights into AI, edge computing, and everything in between, swing by Innovative AI and edge computing and iot Tools | Coredge.io to see how our AI inference engines can turbocharge your applications.

Let’s make real-time magic happen!

[theaifrontier]

Top 7 Free AI Tools You Can Start Using Today

Published on May 26, 2025

Artificial Intelligence isn’t just for big corporations or tech experts anymore. Today, there are dozens of free AI tools available online that can help you boost productivity, spark creativity, and make your daily tasks easier—no coding required! Whether you’re a student, entrepreneur, content creator, or just curious about AI, these tools are a great place to start.

1. ChatGPT by OpenAI

ChatGPT is a conversational AI chatbot that can help you brainstorm ideas, write emails, summarize articles, and even code. It’s free to use for basic queries and is available online or via mobile apps.

2. Canva’s AI Design Tools

Canva now offers AI-powered features like Magic Write (for content generation), background remover, and design suggestions. These tools make graphic design accessible to everyone, even if you have zero experience.

3. Grammarly

Grammarly uses AI to check your grammar, spelling, tone, and clarity in real-time. It’s perfect for students, professionals, and anyone who wants to write better, faster.

4. Google Bard

Google Bard is a free AI-powered search assistant that helps you find quick answers, generate summaries, and even write creative content—all from your browser.

5. Remove.bg

Need to remove a background from an image? Remove.bg uses AI to instantly separate subjects from backgrounds, saving you hours of manual editing.

6. Otter.ai

Otter.ai transcribes meetings, interviews, and lectures in real-time using advanced speech recognition. The free plan is perfect for students and professionals who want to save time on note-taking.

7. Hugging Face Spaces

Hugging Face offers a wide range of AI demos and tools, from text generation to image editing, all free to try. It’s a playground for anyone interested in exploring the latest AI innovations.

How to Get Started

Most of these tools only require a simple sign-up with your email. Explore their features, experiment with your own projects, and see how AI can make your life easier and more productive.

Final Thoughts

AI is becoming more accessible every day. By trying out these free tools, you’ll not only boost your productivity but also gain valuable experience with the technology shaping our future.

Which AI tool are you most excited to try? Let us know in the comments below! And don’t forget to subscribe to AI Insights Hub for more tips, reviews, and AI news.

[ameliasoulturner]

Level Up Your Life: 7 FREE AI Tools That'll Blow Your Mind (Seriously!)

Hey there, folks! Your favorite author here, and let me tell you, if there's one thing that gets my gears grinding in the best way possible, it's the sheer power of Artificial Intelligence. And guess what? You don't need a fancy tech degree or a fat wallet to tap into it. Nope, not anymore! We're living in a golden age where incredible AI tools are available for free, and they can seriously upgrade your daily grind, whether you're a student, a creative, a small business owner, or just someone looking to get things done smarter, not harder.

Over the past decade of diving deep into the world of AI, writing about it, and using it every single day, I've seen a ton of tools come and go. But some? Some are just pure gold. So, ditch the fear of the unknown and let's explore some of the most awesome, free AI tools you absolutely need to know about.

What's the Big Deal with Free AI Tools?

You might be thinking, "Free? What's the catch?" And honestly, that's a fair question. But here's the deal: many leading AI companies offer free tiers or trial versions of their powerful tools. Why? To get you hooked, of course! But hey, if it means we get to experience cutting-edge technology without spending a dime, I'm all for it.

These tools are designed to automate repetitive tasks, spark creativity, boost your productivity, and even help you learn new things. From writing your next big article to designing stunning visuals or even crunching numbers, there's an AI out there ready to be your trusty sidekick.

Why Should YOU Care About These Tools?

Okay, let's get real for a sec. Why should you, an average American trying to navigate life, work, and everything in between, bother with AI? Simple:

Time-Saving Superhero: Imagine cutting hours off your weekly tasks. That report that takes forever? AI can draft it. That email you're dreading? AI can compose it. More time for what really matters, right?

Creativity on Tap: Writer's block? Design dilemma? AI can provide ideas, generate drafts, and even create art from scratch. It's like having a brainstorming partner who never gets tired.

Productivity Power-Up: Whether it's organizing your thoughts, summarizing lengthy documents, or even helping you learn to code, AI can make you ridiculously efficient.

Leveling the Playing Field: These free tools mean you don't need a huge budget to access advanced capabilities. Small businesses, freelancers, and students can compete with bigger players.

Staying Ahead of the Curve: AI isn't going anywhere. Getting familiar with these tools now means you're building skills for the future, whether it's for your career or just personal growth.

When Should You Start Using Them?

The answer is simple: NOW! Seriously, what are you waiting for? The world of AI is evolving at lightning speed. The sooner you jump in and start experimenting, the quicker you'll discover how these tools can benefit you. Don't wait until everyone else is already doing it and you're playing catch-up.

Think about it. If you're a writer, imagine generating article outlines or even full drafts in minutes. If you're a designer, picture creating unique visuals with a few text prompts. If you're a marketer, think about crafting catchy ad copy or social media posts in seconds. The possibilities are endless, and they're available to you right now.

Top 7 Awesome and Free AI Tools You Should Be Using

Alright, enough preamble! Let's get to the good stuff. Here are seven fantastic free AI tools that deserve a spot in your digital toolkit:

1. ChatGPT (or Google Gemini/Claude AI): Your Ultimate Chat Buddy

What it is: These are Large Language Models (LLMs) – basically, super smart chatbots that can understand and generate human-like text. ChatGPT, specifically the free version (GPT-3.5), has taken the world by storm. Google Gemini (formerly Bard) and Claude by Anthropic are also fantastic free alternatives.

Why you need it: This is your all-around AI assistant. Need to brainstorm ideas for a blog post? Ask ChatGPT. Want to draft a polite but firm email? It's got you. Stuck on a coding problem? It can help debug or even write code snippets. From summarizing complex articles to generating creative stories, these tools are incredibly versatile.

Tips for using it:

Be specific: The more detail you give, the better the output. Instead of "Write a blog post," try "Write a 500-word blog post about the benefits of remote work for small businesses, with a friendly and engaging tone, and include a call to action."

Iterate: If the first response isn't perfect, tell it what you want to change. "Make it more concise," or "Add a section on challenges."

Experiment with roles: Ask it to "Act as a marketing expert" or "Be a creative writer."

2. Canva (with Magic Studio): Design Made Easy

What it is: You probably already know Canva for its user-friendly graphic design platform. But did you know their "Magic Studio" is packed with AI-powered features? You can generate images from text, write copy, and even magically resize designs.

Why you need it: If you're not a professional designer but need eye-catching visuals for social media, presentations, or anything else, Canva's AI tools are a game-changer. No more hunting for stock photos or spending hours trying to make things look good.

Tips for using it:

Explore "Magic Design": Just tell it what you want to design (e.g., "Facebook post for a coffee shop opening"), and it'll suggest templates and even fill in content.

Text to Image: Describe the image you're looking for, and Canva will generate options. It's perfect for unique visuals that truly fit your content.

Magic Write: This AI writing assistant can help you craft compelling text for your designs, from headlines to descriptions.

3. Adobe Firefly: Unleash Your Inner Artist

What it is: Adobe Firefly is a suite of generative AI tools from the creative powerhouse, Adobe. Their free tier lets you play with text-to-image generation, text effects, and more. What sets it apart is its training on Adobe Stock images, ensuring commercially safe outputs.

Why you need it: This is for anyone who wants to create stunning, unique images without needing advanced Photoshop skills. Want to visualize a specific concept for your project? Describe it to Firefly. Need an abstract background for your website? Firefly can whip it up.

Tips for using it:

Refine your prompts: Be descriptive with colors, styles, and moods. "A vibrant sunset over a calm ocean, impressionistic style, golden hour."

Explore variations: Firefly often generates multiple options, so browse through them and pick the one that best fits your vision.

Consider ethical use: Since Firefly is trained on licensed content, you can be more confident about using its output for commercial purposes than with some other generators.

4. Grammarly (Free Version): Your Writing Guardian Angel

What it is: While not a generative AI in the same vein as ChatGPT, Grammarly uses AI to enhance your writing. The free version offers robust grammar, spelling, punctuation, and clarity checks.

Why you need it: Let's face it, we all make mistakes. Grammarly catches those embarrassing typos and grammatical errors that can undermine your credibility. It also offers suggestions for conciseness and tone, making your writing clearer and more impactful. For anyone writing emails, reports, or social media posts, this is a must-have.

Tips for using it:

Install the browser extension: It'll check your writing almost anywhere you type online.

Pay attention to clarity suggestions: Sometimes, Grammarly highlights areas where your sentences could be simpler or more direct.

Don't blindly accept all suggestions: It's AI, not a human editor. Use your judgment, especially for stylistic choices.

5. RunwayML (Free Tier): Video Magic at Your Fingertips

What it is: RunwayML is a fascinating platform that brings advanced AI to video editing and generation. Their free tier offers a taste of their powerful tools, including text-to-video, image-to-video, and various AI magic tools like background removal.

Why you need it: If you're dabbling in video creation, even for short social clips, RunwayML can significantly reduce your workload and open up new creative avenues. Imagine transforming a static image into a short animated clip with just a few clicks!

Tips for using it:

Start with short prompts: Text-to-video is still developing, so keep your descriptions concise for better results.

Experiment with "Gen-1" and "Gen-2": These are their core generative models. Try both to see which produces better results for your specific needs.

Use the AI magic tools: Features like "Infinite Image" or "Text to Color Grade" can add a professional polish to your videos with minimal effort.

6. GitHub Copilot (for students/open source contributors): Your Coding Sidekick

What it is: Developed by GitHub and OpenAI, GitHub Copilot is an AI pair programmer that provides code suggestions and auto-completions right within your code editor. While a paid service for most, it offers a free tier for verified students and maintainers of popular open-source projects.

Why you need it: If you're learning to code, or even if you're an experienced developer, Copilot can significantly speed up your workflow. It predicts what you're trying to do and suggests relevant code, function names, and even entire blocks of code. It's like having an experienced developer sitting next to you.

Tips for using it:

Write clear comments: Copilot often uses your comments to understand your intent and generate more accurate code.

Review suggestions carefully: Always understand the code Copilot generates before using it. It's a suggestion, not a guarantee of perfection.

Use it for boilerplate: It excels at generating repetitive code structures, saving you precious time.

7. KNIME Analytics Platform (Free Version): Data Powerhouse for Everyone

What it is: KNIME (pronounced "ny-m") is an open-source data analytics, reporting, and integration platform. It uses a visual workflow approach, making complex data tasks more accessible even without deep coding knowledge. The core platform is completely free.

Why you need it: If you're working with data – whether it's sales figures, research data, or even just your personal budget – KNIME can help you clean, analyze, and visualize it. It's a fantastic tool for getting insights from your data without needing to write complex scripts.

Tips for using it:

Explore the "Node Repository": KNIME uses "nodes" for different data operations. There are hundreds available, so explore and learn what each can do.

Start with simple workflows: Don't try to build a super complex analysis right away. Begin with basic data cleaning and visualization.

Leverage the community: KNIME has a strong online community with tons of tutorials and forums if you get stuck.

DON'T Do This When Using Free AI Tools!

Just a few friendly warnings to keep in mind as you embark on your AI adventure:

Don't blindly trust everything: AI can "hallucinate" or provide inaccurate information. Always double-check facts, especially for critical tasks.

Don't share sensitive personal info: Treat AI chatbots like public forums. Don't input anything you wouldn't want exposed.

Don't expect perfection: These are tools, not magic wands. They'll generate outputs, but you'll almost always need to review, edit, and refine them to make them truly yours.

Don't stop learning: AI is a powerful assistant, but it won't replace your critical thinking or creativity. Keep developing your own skills alongside these tools.

Don't violate copyright: If you're using AI for image or text generation, be mindful of where the AI was trained and what the usage rights are for commercial purposes. Adobe Firefly and Canva tend to be safer bets due to their training data.

Don't forget the human touch: The best AI-generated content still needs a human touch to ensure it sounds authentic, resonates with your audience, and truly reflects your voice.

Ready to Dive In?

There you have it, folks! Seven absolutely amazing and free AI tools that can seriously empower you. The world of AI is no longer some futuristic concept; it's here, it's accessible, and it's ready to help you achieve more than you ever thought possible.

So, go ahead, pick one, try it out, and see how these AI companions can transform your work and creative process. Trust me, once you start leveraging these free powerhouses, you'll wonder how you ever managed without them. Now go forth and create something awesome!

[tagbintech]

How Generative AI is Changing the Face of Search Engines in 2025

In 2025, the search landscape is undergoing a radical transformation. Generative AI in search is no longer a buzzword—it's the backbone of next-gen AI search engine trends. From conversational queries to AI-generated summaries, search engines now function more like intelligent assistants than static libraries. As these innovations evolve, the future of SEO 2025 is being redefined right before our eyes.

We explores how generative AI is reshaping the search experience, what it means for SEO professionals, and how brands can adapt to maintain visibility in this AI-dominated ecosystem.

The Rise of Generative AI in Search Engines

Search engines like Google, Bing, and emerging players are embedding generative AI models like GPT-4, Gemini, and Claude into their core search functionalities. Instead of listing links, these engines generate rich, context-aware answers directly in the results. Google’s Search Generative Experience (SGE) is a prime example—users receive AI-generated overviews and even follow-up prompts, minimizing the need to click through multiple websites.

These updates align with major AI search engine trends in 2025:

• Conversational search replacing keyword queries. • AI-generated snippets as the new SERP real estate. • Enhanced visual + voice search integrations. • Personalization through user behavior prediction.

How This Impacts the Future of SEO in 2025

As generative AI in search continues to mature, SEO strategies are pivoting. The future of SEO in 2025 is now less about traditional keyword stuffing and more about semantic optimization, content relevance, and user intent alignment.

Key SEO Shifts:

• E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is more critical than ever. • Long-form content is being replaced by modular, query-driven sections. • AI is prioritizing contextual value over backlink quantity. • Featured snippets are evolving into AI-Generated Overviews (AGOs).

To rank, content must be well-structured, high-authority, and built for AI parsing.

Google SGE, Bing Copilot & The New SERP Landscape

Google’s Search Generative Experience (SGE) and Microsoft’s Bing Copilot are redefining SERPs in 2025.

What’s Changed?

• Position Zero is now an AI-generated block with contextual, cited answers. • Less emphasis on 10 blue links, more on dynamic summaries and visual elements. • Users get follow-up questions and can explore a topic via interactive AI prompts.

For businesses, this means visibility in search requires being a cited source in AI-generated responses—not just ranking on page one.

Generative AI Tools Powering Search in 2025

These leading generative models are fueling today’s AI search engine trends:

These tools learn user preferences, offering personalized and predictive search experiences.

AI Search Engine Trends 2025: What to Expect Next?

Here are the top AI search engine trends you must watch in 2025:

Search Personalization 2.0: Search engines understand your tone, context, and history.

AI-first SERPs: Native AI summaries will dominate above-the-fold results.

Brand Mentions over Links: Engines cite authoritative brands even without backlinks.

Visual-Text Fusion: Search with images, voice, and text in a seamless flow.

SEO for Chatbots: Optimizing for AI tools like ChatGPT, Perplexity, and Google Bard.

How Brands & SEOs Can Adapt in 2025

If you're in digital marketing, adapting to generative AI in search is mission-critical.

Actionable Steps:

• Focus on topical authority, not just keywords. • Use structured data to help AI understand your content. • Publish first-hand expertise content—case studies, opinions, interviews. • Embrace AI-enhanced writing tools for better scalability. • Optimize for AI-powered platforms (e.g., Perplexity, You.com, Bing Copilot).

Remember, the future of SEO 2025 is about creating content that humans trust and AI understands.

Final Thoughts: Embrace the AI Shift or Get Left Behind

Search is no longer about just typing in a box—it’s about having a conversation with AI. From Google’s SGE to Bing’s Copilot, generative AI in search is transforming how users find and interact with information.

For marketers and brands, staying visible means adapting now. Embrace the AI search engine trends, align with the future of SEO 2025, and invest in meaningful, human-centric content that speaks the language of both people and machines.

[thatware03]

Unlocking the Future of Search: AEO for Google Gemini and AEO for Bard

Introduction

As the digital landscape evolves, so does the way we approach search engine optimization (SEO). Traditional SEO is no longer enough to dominate the SERPs. With the rise of generative AI and conversational interfaces, Answer Engine Optimization (AEO) is quickly becoming the next frontier. At ThatWare LLP, we’re at the cutting edge of this transformation—developing powerful strategies to optimize for AI-driven platforms like Google Gemini and Google Bard.

In this blog, we’ll explore what AEO for Google Gemini and AEO for Bard means, why it's crucial in 2025, and how your business can stay ahead of the curve.

What Is AEO and Why Does It Matter?

Answer Engine Optimization (AEO) is the process of structuring and optimizing content so that it directly answers user queries in a format easily understood and extracted by AI systems, voice assistants, and large language models (LLMs). Unlike traditional SEO, AEO prioritizes precise, context-rich, and authoritative responses.

As generative AI becomes the new search interface, being the top answer, not just the top link, is the goal.

AEO for Google Gemini: A New SEO Paradigm

Google Gemini is Google's next-generation AI model, integrated into its search and productivity tools. It's deeply embedded in Search, Android, and other core products—reshaping how people interact with information.

Optimizing for Gemini involves:

Semantic structuring of content for contextual understanding.

Entity-based SEO to align with Google's knowledge graph.

Use of vector embeddings to make content machine-readable for Gemini’s multimodal capabilities.

AI-aligned markup (like schema.org) to help Gemini extract accurate responses.

At ThatWare LLP, our proprietary AI tools are already tuned to craft content that aligns with Gemini’s retrieval mechanisms, ensuring better visibility in AI-generated snippets and summaries.

AEO for Bard: Conversational AI Meets SEO

While Gemini powers the backend, Google Bard is the user-facing chatbot interface. Bard takes search from keyword-based queries to natural, conversational prompts—and the answers it delivers are powered by AEO-rich content.

To optimize for Bard:

Answer questions directly and conversationally.

Incorporate FAQs and structured Q&A formats on your site.

Focus on topical authority and E-E-A-T (Experience, Expertise, Authoritativeness, and Trust).

Create content designed for zero-click searches.

ThatWare LLP’s AI-driven SEO strategies ensure your content ranks not just in search, but in conversation—where Bard chooses its responses from high-quality, answer-optimized sources.

Why Businesses Need to Adapt Now

Failing to adapt to AEO means falling behind as AI becomes the dominant gateway to information. Google Gemini and Bard are already shifting user behavior from link-clicking to answer-consuming. If your content isn’t designed for this future, your online visibility will drop—fast.

With ThatWare LLP’s AI and NLP expertise, we offer tailored AEO solutions that help you:

Rank in AI-generated answers

Outperform competitors in AI chatbots

Generate leads through conversational search

Final Thoughts

The age of generative AI is here, and AEO for Google Gemini and AEO for Bard are no longer optional—they’re essential. At ThatWare LLP , we specialize in merging AI, SEO, and data science to help brands thrive in this new search paradigm.

[brandhype-in]

How Marketing Leaders Are Evolving Their Google, AI, and YouTube Search Strategies for 2025

Evolutions in online marketing require businesses to be up to date with newer changes in SEO. SEO methods, especially in relation to Google and its AI search environment, are presently undergoing drastic alteration. The shift is largely dictated by the new generative form of AI taking over, people’s behaviour patterns in search interactions, and the general platform dominance associated with YouTube today. Let us find out more about the right SEO tactics and what the best SEO companies are heading up to!

The Rise of AI Search and Its Impact on SEO

AI is transforming the search landscape in ways that marketers need to be very aware of. Generative AI is now shaping search behavior by providing direct, AI-generated answers instead of traditional search results. Platforms like Gemini are driving this shift, making search more conversational and reducing reliance on organic links. 

Businesses must now optimize content for AI-generated responses, ensuring their information is structured and authoritative enough to be pulled into AI Overviews and chatbot answers. Instead of delivering a list of links, search engines now offer more direct and conversational answers, usually presented as AI Overviews or a summary of information. This shift means ranking in the traditional search results is no longer the only concern for businesses wishing to capture the traffic.

In fact, a vast number of marketing leaders have stated that they are diversifying their SEO strategies to keep up with the rise of AI search. As per the latest survey, 62% of marketing leaders in Delhi have either diversified their strategies or are in the process of doing so. They realise that with the dominance of generative AI, traditional approaches to SEO by keyword rankings are no longer good enough.

This has been a growing concern for most businesses as Google continues to erode organic traffic through AI-generated summaries and rich results, which occupy the majority of the positions at the top of search result pages. In turn, this leaves organic listings farther down on the page for some businesses and in a catastrophic free fall in organic traffic for others.

Shift Away from Google

From the insights culled from the survey, there is a growing interest in non-Google search platforms. While it is true that Google has held sway over the market for quite a long time, businesses have grown to realise the need to diversify beyond it due to fragmented search results. Amongst these alternatives currently being considered by us include:

YouTube (66%): While YouTube is owned by Google, it is gaining its own prominence as a search engine in its own right due to the increase in video and product-related searches. Video content has emerged as an essential marketing mix tool and the second-most popular search engine after Google. Marketers are now paying a lot of attention to making their video content friendly for searching on YouTube.

Gemini (56%): While Google remains dominant, Bard is changing the way search results appear, prioritizing AI-generated insights over traditional listings. Marketers are now optimizing content specifically for Bard’s AI processing, ensuring their content is concise, authoritative, and structured to be featured in Bard’s responses.

Amazon (45%): As e-commerce continues to grow, Amazon has become a key search platform, especially for product-related searches. The platform’s search engine is an essential tool for businesses looking to capture attention from potential customers who are actively searching for products to purchase. Businesses are increasingly investing in Amazon SEO strategies to improve their visibility on the platform.

This shift away from Google and the fragmentation of search means that businesses must be more flexible and open to experimenting with different search platforms and channels.

Measuring Search Success in the AI Era

Business practices have evolved with generative search and AI assistants in the way search success is measured. Traditional metrics such as keyword rankings and CTR are giving way to new success indicators: visibility and user engagement.

A recent survey says that 52% of marketing leaders are complementing traditional ranking metrics with newer measures such as presence in search snippets and AI-generated answers. Features such as Google’s AI Overviews, ChatGPT responses, and Perplexity, another generative search platform, feature here. The idea is that being featured in these prominent search results is more valuable than simply ranking high on a standard search results page.

In addition to this, 27% of marketing leaders have shifted their focus from CTR to conversions. This change reflects the growing importance of driving actual sales and business outcomes rather than just increasing traffic. For many marketers, the ultimate goal is not to get as many clicks as possible, but to generate high-quality leads that result in conversions.

A smaller 7% responded that they are moving away from rankings and more toward visits. This group still focuses on traffic but with a more modern interpretation of how to capture and grow that traffic in a world driven by generative search.

Conclusion

Businesses, especially those in competitive industries, need to start adopting SEO strategies according to how search is now evolving. Because of AI-driven changes, changes in user behaviour, and how more platforms such as YouTube and ChatGPT are influencing everything, it’s evident that SEO is no longer just about trying to chase rankings.

As fragmentation proceeds, business SEO efforts must diversify to other platforms, and success measurements will continue to evolve. This calls for an overall approach to search marketing that expands beyond traditional keyword tactics and involves newer metrics like search snippets, conversions, and AI-powered search platforms.

Brandhype.in, a premier SEO company in Gurgaon, helps businesses stay ahead in the ever-changing digital landscape by implementing adaptive SEO strategies tailored to AI-driven search evolution. Call our SEO company today and let us discuss strategies to skyrocket your brand presence.

[annabelledarcie]

The Future of AI Agents: How They’re Transforming Digital Interactions

AI agents are rapidly evolving, reshaping digital interactions across industries by enhancing automation, personalization, and decision-making. These intelligent systems are becoming increasingly sophisticated, providing seamless user experiences in customer service, healthcare, finance, and beyond. This article explores the future of AI agents, their impact, and the innovations driving their transformation.

The Evolution of AI Agents

AI agents have progressed from rule-based systems to advanced machine learning-driven models. This evolution has been fueled by improvements in computational power, access to vast data sets, and breakthroughs in AI technologies such as deep learning and reinforcement learning.

Key Milestones in AI Agent Development:

Early Chatbots: Simple rule-based systems (e.g., ELIZA, AIML-powered bots).

NLP and Machine Learning: AI agents understanding context and intent (e.g., Siri, Google Assistant).

Conversational AI & Personalization: Advanced dialogue systems using deep learning (e.g., ChatGPT, Bard).

Autonomous AI Agents: Self-improving AI using reinforcement learning (e.g., AutoGPT, BabyAGI).

How AI Agents Are Transforming Digital Interactions

AI agents are revolutionizing the way businesses and users interact online. From chatbots to autonomous virtual assistants, these systems are making digital interactions more intuitive and efficient.

1. Enhanced Customer Support

AI-powered chatbots and virtual assistants provide 24/7 customer service.

Automated responses reduce wait times and improve satisfaction.

Integration with CRM systems allows for personalized interactions.

2. Hyper-Personalization in Digital Marketing

AI agents analyze user behavior and preferences to tailor content.

Dynamic pricing and personalized product recommendations enhance user experience.

AI-driven ad targeting optimizes marketing campaigns.

3. AI in Healthcare and Telemedicine

AI agents assist in diagnosing conditions and providing health recommendations.

Virtual assistants schedule appointments and remind patients of medications.

AI chatbots offer mental health support through conversational therapy.

4. Financial AI Assistants

AI-powered financial advisors help users manage expenses and investments.

Fraud detection systems use AI agents to monitor suspicious transactions.

Automated trading bots optimize investment strategies in real time.

5. AI Agents in the Metaverse & Virtual Spaces

AI-driven avatars provide interactive experiences in virtual worlds.

AI-powered NPCs (Non-Player Characters) enhance gaming realism.

AI agents assist in digital asset management and transactions.

6. Voice-Activated AI for Smart Devices

AI-driven voice assistants control IoT devices and smart home systems.

Speech recognition and natural language processing improve user commands.

AI agents facilitate real-time language translation and accessibility.

Technological Innovations Driving AI Agents Forward

Several cutting-edge technologies are pushing AI agents toward greater autonomy and intelligence.

1. Large Language Models (LLMs) & Generative AI

GPT-4, Bard, and Claude enable AI agents to generate human-like responses.

AI models understand complex queries and engage in meaningful conversations.

2. Multi-Modal AI

AI agents integrate text, images, video, and voice processing for richer interactions.

Example: AI models analyzing and generating visual and textual content simultaneously.

3. Reinforcement Learning with Human Feedback (RLHF)

AI agents improve performance through continuous learning from user interactions.

Self-improving AI enhances adaptability in dynamic environments.

4. Blockchain for AI Security & Decentralization

AI agents use blockchain to ensure transparency and trust in interactions.

Decentralized AI reduces data monopolization and enhances user privacy.

5. Edge AI & On-Device Processing

AI agents run on edge devices, reducing dependency on cloud computing.

Enables real-time processing for applications like autonomous vehicles and smart wearables.

Challenges and Ethical Considerations

Despite their potential, AI agents come with challenges that must be addressed for widespread adoption.

1. Data Privacy & Security

AI agents must comply with global data protection regulations (e.g., GDPR, CCPA).

Ethical AI frameworks are essential to prevent bias and misuse.

2. Job Displacement Concerns

Automation may replace certain jobs, but new AI-driven roles will emerge.

Reskilling the workforce is critical to adapting to AI-powered environments.

3. AI Explainability & Trust

Users must understand how AI agents make decisions.

Transparent AI models improve trust and reduce risks of misinformation.

The Future of AI Agents: What’s Next?

AI agents will continue to evolve, becoming more human-like in their interactions and decision-making capabilities.

Predicted Developments:

Fully Autonomous AI Agents: Self-learning AI with minimal human intervention.

AI-Powered Digital Humans: Hyper-realistic avatars capable of deep conversations.

AI Governance & Regulation: Stricter frameworks ensuring responsible AI usage.

AI & Quantum Computing Integration: Faster, more complex decision-making capabilities.

Conclusion

AI agents are set to redefine digital interactions across industries, making them more intelligent, efficient, and personalized. With advancements in LLMs, multi-modal AI, reinforcement learning, and blockchain security, AI agents will continue transforming the way businesses and individuals interact in the digital world. While challenges like data privacy and ethical AI must be addressed, the future of AI agents holds immense potential for innovation and growth.

Are you ready to embrace the next generation of AI-powered digital interactions? The future is here—start leveraging AI agents today!