Businesses that range from high tech startups to international multinationals see artificial intelligence as a crucial competitive edge in an increasingly technical and competitive sector. However, the AI industry goes so fast that it is often difficult to adhere to the most recent research discoveries and accomplishments, and even more difficult to employ technological results to achieve business results. To assist you to create a strong AI plan for your company in 2020, I have outlined the hottest trends across various research areas, such as natural language processing, conversational AI, computer vision, and reinforcement learning. I have also included outside education it is possible to follow to enhance your experience. In 2018, pre-trained language versions pushed the limitations of natural language understanding and production.

Companies ranging from high tech startups to global multinationals see artificial intelligence as a key competitive advantage in an increasingly competitive and technical market. But, the AI industry moves so quickly that it's often hard to follow the latest research breakthroughs and achievements, and even harder to apply scientific results to achieve business outcomes. To help you develop a robust AI strategy for your business in 2020, I've summarized the latest trends across different research areas, including natural language processing, conversational AI, computer vision, and reinforcement learning. I've also included external education you can follow to further your expertise. In 2018, pre-trained language models pushed the limits of natural language understanding and generation. These also dominated NLP progress last year.

The introduction of AI is helping the textile manufacturers to improve efficiency and enhance capabilities of employees extracting huge business insights from historical and real-time data. FREMONT, CA: Though artificial intelligence (AI) is transforming several industries, its contribution to the field of the textile industry is relatively new. Conventionally, the textile industry has been associated with low-fixed capital investment, variable production volumes, high competitiveness, high demand on product quality, and a wide range of designs. The introduction of AI is helping the textile manufacturers to improve efficiency and enhance the capabilities of employees extracting tremendous business insights from historical and real-time data. The value of textile products is dramatically affected in case of defects.

Everyone who follows the tech space knows that artificial intelligence ("AI") is one of the hottest area of investment. From my anecdotal experience, if you ask market participants to list who they think is the current leader in AI, most will say Google (NASDAQ:GOOGL) (GOOG), then followed by perhaps Microsoft (MSFT) or NVIDIA (NVDA). Being labeled an "AI" company helps these stocks attract incremental investors. However, it surprises me how few market participants recognize Amazon's (AMZN) leadership in AI. In my view, though impossible to quantify exactly, Amazon's AI investments and capabilities should sustain and increase its competitive advantage over time, leading me to believe that the stock has a much longer runway than what investors are giving it credit for. If I am correct, this also means bad news for Amazon competitors - this is particularly true in the retail space where competitive have invested little in AI technology by comparison.