technology 
AI News
MAY 29, 2024
IBM’s current focal point in AI research and development lies in applying it to technology operations. ” Powering the future of work Beyond IBM Concert, IBM offers a suite of AI technologies and tools, such as watsonx and AI governance solutions.
Analytics Vidhya
APRIL 16, 2024
In this journey, we’ll uncover the core concepts behind Transformers: attention mechanisms, encoder-decoder architecture, […] The post Understanding Transformers: A Deep Dive into NLP’s Core Technology appeared first on Analytics Vidhya.
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IBM Journey to AI blog
FEBRUARY 28, 2024
Here are four smart technologies modernizing strategic sourcing processes today: Automation Business process automation (also considered a type of business process outsourcing ) is pervasive across industries, minimizing manual tasks in accounting, human resources, IT and more. Blockchain Information is an invaluable business asset.
Unite.AI
NOVEMBER 5, 2023
In an era where technological marvels emerge at a breathtaking pace, a remarkable breakthrough has surfaced from the labs of Australian researchers—'acoustic touch.' This pioneering technology promises to redefine the landscape of assistive devices for the visually impaired.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs.
Analytics Vidhya
SEPTEMBER 11, 2022
Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. Any data stored on the blockchain cannot be modified, making the technology a legitimate disruptor for payments, cybersecurity, and healthcare industries. Blockchain is a system of registering […].
Analytics Vidhya
APRIL 10, 2024
Also Read: Google Cloud Next 2024: Latest Innovations […] The post Imagen 2: Google’s Most Advanced Text-to-Image Technology appeared first on Analytics Vidhya. Let’s delve into the details of these upgrades and their implications.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday.
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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
Speaker: Ryan Bryers, SVP of Global Engineering
With technology giants like Google, AWS, and Azure leading the charge, the true value of the cloud extends far beyond cost savings. In a rapidly evolving industry, the shift from traditional on-premise systems to cloud-based solutions has become crucial for retail success.
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Business intelligence is the technological capability to include BI features and functions as an inherent part of another application. For 12 years Dresner Advisory Services has run analysis on the importance of business intelligence, and the different providers of embedded BI solutions. BI Defined. Importance of Business Intelligence.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
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Challenges like infrastructure costs, safety concerns, as well as uptime and scaling can all be avoided with the right embedded analytics technology. Embedded analytics offers a strategic solution to this challenge. Here’s how.
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In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence. Which sophisticated analytics capabilities can give your application a competitive edge?
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