There are several different types of agentic AI, all serving different purposes and bringing new capabilities to the table. First, observability software allows for AI agents to be transparent, traceable and trustworthy. Especially as this software becomes more autonomous, it is especially important for humans to understand the what and why of its actions. Agent Frameworks are the backbone of building smarter agents, supporting more complex systems moving forward. The memory sector helps develop how agents learn, remember and understand the context of an input.
There are several different types of agentic AI, all serving different purposes and bringing new capabilities to the table. First, observability software allows for AI agents to be transparent, traceable and trustworthy. Especially as this software becomes more autonomous, it is especially important for humans to understand the what and why of its actions. Agent Frameworks are the backbone of building smarter agents, supporting more complex systems moving forward. The memory sector helps develop how agents learn, remember and understand the context of an input.
Although agentic AI was previously less than 1% of enterprise software in healthcare, usage is expected to surge to 33% by 2028. This is largely because of advancements in agentic AI, now able to autonomously complete tasks and work without human input. In healthcare, this means that these agents are able to take care of back-end operations such as insurance verification, prescription refill orders or indexing inbound documents.
The team at Qualtrics compiled a list of the 100 most popular uses of AI with data on how these categories changed in popularity from 2024 to 2025. Among this huge list, we can see some patterns emerge. The most popular use for AI in 2025 is for personal and professional support. Use in this category nearly doubled from 2024 to 2025. People use AI to organize their lives, manage their time and create schedules, prepare for job interviews, plan their workouts, and even manage parenting and emotional situations. Now, some use it to simulate a conversation with deceased loved ones or as a coach to improve confidence. Overall, we can see that AI used as a therapist or counselor is the most popular use case in 2025. This is somewhat surprising and perhaps concerning since generative AI doesn’t actually think or empathize as a human. It’s a predictive text model with responses based on probability. Even so, it seems many users find it helpful to reflect and sort through their thoughts and feelings with the help of AI.
The AI revolution is already well underway, and the market for IT professionals is rapidly changing to reflect this. The majority of business leaders have identified AI skill gaps as needing to be urgently addressed and have claimed that they won’t hire employees without the necessary AI literacy. Prompt engineering is one of the most important skills to meet this requirement. It involves structuring the instructions that are fed to generative AI in a way that is clear, concise, and easily followed. Multiple iterations of a task can be avoided if prompt engineering is performed effectively.
As AI grows and develops, many countries have focused on how they should regulate its growth and use. AI offers a ton of potential for great benefits and world-changing advances, but it also carries some real risks. It’s in our best interests that governments and companies consider policies that will prevent AI from doing harm and limit what bad faith actors can do to use AI in a negative way.
In its latest event, OpenAI revealed that it is launching a
desktop app of ChatGPT, a new and faster model ‘GPT-4o,’ and bringing UI
changes to ChatGPT on web.
ChatGPT works a little differently in the desktop app. When you open it on your
desktop next to a program, ChatGPT can answer any queries related to whatever
is displayed on your screen. To ask questions, you can use the Option + Space
keyboard shortcut, as well as take and share screenshots with the app to obtain
ChatGPT’s response. Currently, the app’s availability is only limited to
ChatGPT Plus users, but it will be expanded to all users with a broader rollout
in the coming weeks.
ChatGPT has been updated with a new ‘Memory’ feature exclusively
for ChatGPT Plus subscribers, that can permanently store details about users,
such as their personal information, queries, prompts, and other customizations.
The feature was first rolled out to a limited number of people in February of
2024.
The Memory feature functions in two ways: one by being asked by the user to remember specific information, and the other by self-learning from conversations, which is akin to how algorithmic systems work in apps. Once ChatGPT saves the information, it can make conversations with users more customizable without needing any reminders.
Google is testing a new AI bot that makes conversations with
people using their speech as input. The model was developed for the purpose of
helping people practise a new language.
Google rolled out this conversational AI bot back in October of last year, but it was underdeveloped at the time as its capability was limited to providing feedback on spoken sentences. In the latest updated version, the bot can now help users practice having ongoing conversations in the language they are learning; although it currently only supports conversations in English.
As its latest major move in the world of AI, tech giant Meta
has added its AI chatbot on all of its platforms: Facebook, Instagram, WhatsApp
and Messenger (minus Threads). The chatbot is available on each of these apps
as a dedicated search bar.
Meta’s AI chatbot is powered by the company’s Llama 3 model –
Meta’s most powerful AI model yet (even better than ChatGPT), and which it
claims to be “the most intelligent AI assistant” that can be used for free. This
should automatically make Meta’s integrated AI chatbot one of the best AI
assistants out there too.
OpenAI is making its voice cloning AI model, called Voice
Engine, available to a limited number of companies and developers.
Voice Engine has been in the making since 2022 and is designed
to generate voice clones based on 15-second long reference clips. According to
OpenAI, the model was trained on “a mix of licensed and publicly available
data.” It can read out text prompts on command both in the speaker’s language
as well as other languages. It also provides the foundation for preset
voices for the text-to-speech API as well as ChatGPT’s Read Aloud feature.
Companies from a wide range of sectors are included among those with early access to Voice Engine – from education tech and storytelling to AI communication, health, and more.
Cloud collaboration and productivity platform Airtable is
launching ‘Airtable AI’ that consists of generative AI summary, categorization,
and translation features. The company has tested these features with more than
1,200 organizations and is now making them available for purchase to all its users.
AI has been proven to be an efficient integration in workspace platforms like Google Workspace and Microsoft Office – especially for the purpose of producing summaries and drafting text documents. Airtable AI is therefore likely to make Airtable an all-rounder platform, with functions dedicated to organizing teams, pushing tailored content to customers, and more.






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