A report anticipates that by 2026, over 80% of enterprises will have utilized generative AI application programming interfaces or models, or deployed generative AI-enabled applications in production environments.
By 2026, more than 80% of enterprises will have used generative artificial intelligence (GenAI) application programming interfaces (APIs) or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023.
Today's Headline in NewsHours
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2:40 #AadhaarCard should be locked to Prevent the new fraud
3:20 #PrakashDharmani appointed as COO of IceWarp India
3:48 #Qualcomm to launch RISC-V based wearable platform with Google
4:20 Bharti, Jio to likely face ₹14,400 crore tax bill following SC judgement
4:51 #IOS XE zero-day attacks compromised around 10,000 Cisco devices
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Generative AI-Enabled Applications.
A report anticipates that by 2026, over 80% of enterprises will have utilized generative AI application programming interfaces or models, or deployed generative AI-enabled applications in production environments.
By 2026, more than 80% of enterprises will have used generative artificial intelligence (GenAI) application programming interfaces (APIs) or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023.
Today's Headline in NewsHours
0:00 Intro
2:40 #AadhaarCard should be locked to Prevent the new fraud
3:20 #PrakashDharmani appointed as COO of IceWarp India
3:48 #Qualcomm to launch RISC-V based wearable platform with Google
4:20 Bharti, Jio to likely face ₹14,400 crore tax bill following SC judgement
4:51 #IOS XE zero-day attacks compromised around 10,000 Cisco devices
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Generative AI-Enabled Applications
Technology video | 264 views
Google rolls out generative AI app builder tool for Cloud developers #shortsvideo
Technology video | 176 views
Oracle introduces Generative AI into its office processes #shortsvideo
Technology video | 209 views
Generative #artificialintelligence describes algorithms (such as ChatGPT) that can be used to create new content, including audio, images, text, videos, code or synthetic data.
#Machinelearning is a type of artificial intelligence. Through machine learning, practitioners develop artificial intelligence through models that can “learn” from data patterns without human direction. Whereas, the Generative AI integrated with the right customer processes will improve customer experience.
The most important thing is, making AI stronger is Data science, that is going to propel businesses into the future. Data insights help businesses learn more about customers and their behaviour. Through employing IoT devices, gathering granular process data, providing predictive analytics, and more, data science offers organizations a unique perspective – enabling them to construct accurate trend-models and use them as the foundation for building disruptive software.
While the term generative AI is often associated with #ChatGPT and deep fakes, the technology was initially used to automate the repetitive processes used in digital image correction and digital audio correction. Generative AI can produce fast, personalized customer communications based on historical data and customer interactions.
Once a generative AI algorithm has been trained, it can produce new outputs that are similar to the data it was trained on. Because generative AI requires more processing power than discriminative AI, it can be more expensive to implement.
Generative AI can do more than generate images and text. With the help of a quantum boost, it can generate novel solutions to complex business problems. Quantum computing is 1,000 times faster than what we’re used to right now. What this means is that with the speed of quantum computing, what currently requires a day can be completed in mere seconds! Moreover, quantum computing removes depe
Technology video | 148 views
Adobe to connect generative AI tools into its video editing software #shortvideo
Technology video | 175 views
Dell Technologies brings new AI Offerings to accelerate Secure Generative AI Initiatives #shorts
Technology video | 191 views
As an AI language model, #ChatGPT is designed to generate human-like responses based on the input it receives. Generative AI, on the other hand, refers to a broader category of AI models that can generate outputs in various forms, such as images, text, music, and more.
Generative AI has the potential to transform industries and open up new possibilities for human-machine interaction and has the capabilities in #GoogleCloud and Google Workspace, plus PaLM API and MakerSuite for developers. It offers several advantages over traditional AI models that can only perform predefined tasks.
Today's Headline in NewsHours
0:00 Intro
2:47 #TCS, Infosys appears to have highest exposure to US regional banks
3:25 Invest India’s MD & CEO Deepak Bagla steps down
3:56 #DonaldTrump's YouTube channel restored after two years of suspension
4:33 Amid ChatGPT's rise, Apple experimenting with AI for Siri
5:05 ED files chargesheet against Razorpay, fintech firms and NBFCs
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Can Generative AI compete with ChatGPT ?
Technology video | 197 views
Google’s new generative AI tool to help sellers customize jazz up their product images #shortsvideo
Technology video | 158 views
Vineet Nambudiri, Director – Category & Product Marketing, Microsoft India
“Generative AI is all about LLMs coupled with robust data which help you scale anything”
Technology video | 141 views
#ChatGPT leverages deep learning, analyzing immense amounts of text data, learning the patterns, and mimicking the structure of natural language. This enables Chat GPT to generate realistic and expressive text when it is fine-tuned for specific tasks.
Generative AI can be influential in Learning & Development, where it can assist with generating new learning content, images, voice-overs, and micro modules in seconds. Organizations need to understand and explain the functionality of generative AI and what it means for their products and services.
Generative AI, like the one used in Chat GPT, is designed to generate new content based on the input it receives, rather than simply selecting from a pre-existing set of responses. This makes it more flexible and capable of generating responses that are tailored to the specific context of a conversation.
Today's Headline in NewsHours
0:00 Intro
2:20 #Google announces early access to Bard, its ChatGPT competitor
2:48 BlackBerry signs a $900M deal to sell its non-core patents
3:23 #Samsung collaborating with Microsoft, Google for developing Generative AI
4:00 Websites of North Korean Foreign Ministry, others go offline
4:35 #Microsoft’s Bing chatbot lets users create images via OpenAI’s DALL-E
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Generative AI in Chat GPT
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