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Artificial Intelligence For The Best Customer Services

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Artificial Intelligence For Best Customer Services,Startup Stories,2018 Latest Business News & Updates,Startup Stories India,Latest Technology News 2018,AI For Best Customer Services,Artificial Intelligence Features,AI Customer Service Sector

Implementing Artificial Intelligence improves the features and working of the customer service sector. It helps the companies to handle the task easily but has some disadvantages too. It might not be possible for a human to stay on for 24/7 to serve, but it is not a problem for artificial intelligence. They can give live services irrespective of time. The problem with the robotic technology is that they can’t understand all languages or some special characters, they just work with features pre-installed in them. Let us have a brief overview of the Artificial Intelligence in customer service.

Artificial Intelligence for Sudden Change in Service Sector:

Combining Artificial Intelligence and Machine Learning gives innovative and happy results. It works efficiently with fast servers. There are no time limitations for the AI (Artificial Intelligence) systems, sometimes technical issues may be raised which can be solved in no time.

Increasing Productivity and Accuracy:

Artificial Intelligence enables customer service agents to serve a customer in better and more efficient manner. Previously customer service agents should be familiar with each and every aspects of the company, but now it is not that necessary after artificial intelligence coming to use. It also serves the customer on the real-time basis, without any delay. Artificial Intelligence also helps to gather the information quicker and accurate.

Usage of Collected Customer Data:

The huge amount of customer data collected by the companies will be as the knowledge base for the artificial intelligent system. The more the data fed into the system, the more efficient it works and handles customers efficiently.

Multiple Language Support:

All the Multi-National Companies has the customer base from different regions, who speak different languages. And it is highly impossible to set a customer care center to handle in all the languages preferred by the customers. This can be done by using machines, making a machine learn multiple languages is easy. Hence the machines can handle it without much risk.

Auto Respond to Bulk Emails:

The ticket supervision system with Artificial Intelligence helps your support center by answering instantly to some general queries. All company’s content is retrieved by the system and it helps to answer a greater number of emails automatically.

ChatBots:

Chatbots are the automatic response system which gives a response to the customer queries automatically by searching the knowledge base, company’s database and approved external sources. Chat Bots give the real time and personalized responses to the customers. By this, if the physical agent is not active, the query of the customer can be solved.

Also, Read HOW ARTIFICIAL INTELLIGENCE AND CHATBOTS WILL CHANGE STARTUPS

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Artificial Intelligence

Adopt AI Secures $6 Million to Power No-Code AI Agents for Business Automation

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Adopt AI

Adopt AI, a San Jose and Bengaluru-based agentic AI startup, has raised $6 million in seed funding led by Elevation Capital, with participation from Foster Ventures, Powerhouse Ventures, Darkmode Ventures, and angel investors. The funding will be used to expand the company’s engineering and product teams and to scale enterprise deployments of its automation platform.

 

Founded by Deepak Anchala, Rahul Bhattacharya, and Anirudh Badam, Adopt AI offers a platform that lets businesses automate workflows and execute complex actions using natural language commands, without needing to rebuild existing systems. Its core products include a no-code Agent Builder, which allows companies to quickly create and deploy AI-driven conversational interfaces, and Agentic Experience, which replaces traditional user interfaces with text-based commands.

The startup’s technology is aimed at SaaS and B2C companies in sectors like banking and healthcare, helping them rapidly integrate intelligent agent capabilities into their applications. Adopt AI’s team includes engineers from Microsoft and Google, with Chief AI Officer Anirudh Badam bringing over a decade of AI experience from Microsoft.

The company has also launched an Early Access Program to let businesses pilot its automation solution and collaborate on new use cases.

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Google’s Iconic ‘G’ Logo Gets First Update in 10 Years

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Google has refreshed its iconic ‘G’ logo for the first time in nearly 10 years, replacing the familiar solid blocks of red, yellow, green, and blue with a smooth, vibrant gradient that blends these colors seamlessly. This subtle update gives the logo a softer, more fluid, and modern appearance, aligning with Google’s evolving digital identity and current design trends.

The new gradient transitions smoothly from red to yellow, yellow to green, and green to blue, making the logo more visually appealing and adaptable across various devices, especially on mobile platforms. This redesign also reflects Google’s growing emphasis on artificial intelligence, echoing the gradient style used in the branding of Google Gemini, the company’s AI-generative assistant.

The updated ‘G’ logo has started rolling out on iOS through the Google Search app and on some Android devices, particularly Pixel phones running the Google app beta version 16.18. However, most other platforms, including the web and non-Pixel Android devices, still display the classic solid-color logo. A wider rollout is expected in the coming weeks.

So far, Google’s main wordmark and other product logos like Chrome, Maps, and Gmail remain unchanged. Given the shift toward gradient designs and AI-inspired visuals, similar updates to other Google icons may follow in the future.

In summary, this first major update to the ‘G’ logo since 2015 signals a subtle but meaningful shift in Google’s branding strategy, blending tradition with innovation as the company deepens its focus on AI and modern design aesthetics.

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Why Skype Lost to Zoom: The 2011 Turning Point?

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Skype

Skype’s downfall, culminating in its retirement on May 5, 2025, was set in motion as early as 2011 when Microsoft acquired the platform. While Skype was once synonymous with online calling, Microsoft’s stewardship led to stagnation. Instead of innovating, Microsoft focused on integrating Skype into its broader ecosystem and later shifted attention to Teams, cannibalizing Skype’s features and user base.

Skype’s peer-to-peer architecture struggled to adapt to the cloud era, making it less scalable and secure compared to cloud-native rivals like Zoom. As competition from WhatsApp, FaceTime, and especially Zoom intensified, Skype’s interface became cluttered and user experience suffered.

The COVID-19 pandemic should have been Skype’s moment, but it failed to capitalize. In 2020, Skype held a 32.4% market share, but by 2021, Zoom had surged to nearly 50% while Skype plummeted to just 6.6%. Users flocked to Zoom for its simplicity and reliability, while Skype’s daily user count actually dropped during this period.

Ultimately, Skype lost because it failed to modernize, innovate, and focus on what users valued most-simple, high-quality video calls. Its decline was less about Zoom’s brilliance and more about years of missed opportunities and strategic missteps.

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