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AI for inclusive growth: Leadership lessons from Davos
What are the practical ways to ensure AI expands opportunity, strengthens resilience and supports a more inclusive, equitable future?
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Artificial intelligence (AI) has been used to facilitate business decisions, but one Chinese company has turned over its chief executive role to an AI bot
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As automation changes the workplace and business outcomes, operational leaders must strive to understand the resulting evolution of AI and how they impact work roles
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Until AI acts independently in decision-making, some AI tools are improving today’s workplaces by helping make better decisions and streamlining tough and tedious work
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During Day 1 of Radiance 2023, hosted by HighRadius, macroeconomic trends and automation are in the spotlight for the CFO and finance technology
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Vulnerabilities attached to machine learning need to be kept in mind by policymakers before deploying AI-enabled systems
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Recently, the Sunak government also launched a new program that aims to radically upskill civil servants in data science and analysis
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AI and automation have already changed how we do business and innovate, but now generative AI is ready to take technology disruption to the next level
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As AI and machine learning continue to evolve and provide new innovations, AI performance leaves many wondering when it will impact professional roles
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As technology is integrated into our daily lives, the impact of AI—especially Generative AI—continues to grow, both in a good way as well as ways that are causing concern
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In this podcast episode, Mrinal Rai, Principal Analyst at Information Services Group (ISG), examines enterprise Metaverse trends and unravels the mystery and potential of the Metaverse.
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Listen to this interesting episode to discover how organizations can leverage the emotion recognition and analysis concepts to build a positive work environment that fosters collaboration and boost pr
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The term "artificial intelligence" was coined by John McCarthy in 1956. Alan Mathison Turing, followed by Newell, Simon, McCarthy and Minsky, are key figures in AI development. Newell and Simon's 1956 "Logic Theorist" program marked a milestone. These pioneers, known as the founding fathers of AI, significantly advanced the field.
- Increased productivity
- Increased automation
- Smart decision-making
- Solve complex problems
- Managing repetitive tasks
- Strengthens economy
- Personalization
- Disaster management
- Enhances lifestyle
- Global defense
Machine learning is the brain of AI that emulates logical decision-making based on the data fed to it and an AI model is the creation, training and deployment of the ML algorithms. With advancements in intelligence methodologies, AI models support in tandem with real-time analytics, predictive analytics and augmented analytics using natural language processing (NLP), ML, statistical analysis and algorithmic execution.
Loaded with human capabilities and beyond, the importance of artificial intelligence (AI) is rising and gradually spreading to various industries, making way for new possibilities and better efficiencies. Data in today’s world is an asset and valued across industries. With AI, humans are now able to absorb, interpret and make complex decisions.
While artificial intelligence is a system that mimics or imitates human intelligence, machine learning is the brain that helps it work.
Generative AI refers to a subset of artificial intelligence algorithms and models designed to generate new data that resembles existing data. These sophisticated algorithms can create content in various forms, such as text, images, music and even complex structures like designs and models. Generative AI is primarily powered by advances in neural networks, particularly Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
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