In a world overshadowed by the rapid deterioration of its climate, AI engineers are beginning to apply machine learning technology to issues of environmental justice and crisis. In California, where wildfires have ravaged over 570,000 acres of land and forced 41,000 evacuations already this summer, AI is being used to prevent and monitor forest fires throughout the state.
The Director of Innovation plays a crucial role in a company by staying informed about various technological advancements to maintain the company's competitive edge. In 2024, the key focus is generative AI, a technology prevalent in headlines and discussions across various domains, including everyday settings. Learn more about the relevance of AI in trend analysis, opportunity identification, and strategic planning in this article.
AI has rapidly evolved into a daily necessity by 2023, with GPT-4 marking a significant leap in language models and public awareness. This advancement has spurred transformative changes across various sectors, particularly in creative fields. In this era, companies embracing innovation and risk-taking are leading the new AI age, with generative AI emerging as a pivotal tool reshaping business possibilities.
Recent advancements in AI technology have reshaped everyday life and industries, introducing autonomous functionality in products like Tesla's Autopilot and Roomba, and opening up new frontiers in complex problem-solving. This article explores the rapid progression towards a future where AI is not just a tool, but a collaborative force in driving human progress.
With the rise of AI-powered virtual concierges, businesses have an opportunity to enhance customer service and engagement. These digital assistants can navigate customers through various services and products, and improve the overall customer experience. This article explores five compelling reasons why businesses should embrace virtual concierges to fuel their growth, focusing on improving customer service quality and fostering long-term customer loyalty:
You probably suspect AI can dramatically improve your business, but perhaps you are not sure exactly how -- perhaps you are even worried that a start up or tech company is gunning for your business. Ask yourself two questions: 1. what are the high level business problems that could be transformational if solved and 2. which business problems are feasible to solve with AI to some meaningful degree.
The insurance industry is moving towards a more tech-driven future with the help of natural language processing (NLP). Artificial intelligence could improve productivity and save up to 40% on insurance costs by 2030, according to a 2021 McKinsey report. In this article we address how you can utilize NLP to automate customer service, streamline underwriting, and analyze social media data:
When securing executive buy-in for your potential AI project, there are a number of considerations to keep in mind. It’s necessary to prepare a strong proposal that not only takes account the motivations of your leaders, but also makes a case for your project’s technical feasibility. In this article we dive into five tips to consider when attempting to secure executive buy-in:
The demand for data scientists has never been higher, and 86% of executives claimed that AI would be a “mainstream technology” at their companies in 2021. As Artificial Intelligence becomes more widely adopted in business practices, many companies are beginning to utilize AI Consultancies to optimize customer experience, reduce cost, and more. When starting a new AI initiative, working with an experienced consultant is the way to go. That’s why we curated this list of top 5 reasons you should hire an AI Consultant.
As an AI Consultant, I get a front row seat to AI and innovation; I repeatedly see when it succeeds, and when it fails. I’ve been building AI and machine learning based systems for over 20 years, in many different companies, cultures, and problem domains. During this time, I’ve noticed a number of patterns that cause the deployment of AI systems and AI powered features to fail.
