Moving data processing and analysis to the "field" solves the problem of high latency and low throughput associated with sending data over the network. Many edge devices need advanced learning, prediction and analytics capabilities to function efficiently.

New mobile application Pocketsize-Enterprise gives you all that you need at the palm of your hand.

According to a recent Forrester survey, machine-learning investments are increasing 300 percent this year compared to last year. In the following year the most important thing for entrepreneurs is to use all the necessary machine learning, apply it to their enterprises and make the most out of Artificial Intelligence. All researches from the previous year show that time ahead of us is just right for further education on Machine Learning. This is the time for expanding businesses, new projects, this the time for new opportunities, so energise your business with AI.

To remain ahead of your game, AI-aware firms should start shifting jobs and available opportunities toward a paradigm that complements the new technological direction. AI can replace many lower-level tasks required in day-to-day operations -- data analysis and marketing among them.

Unstructured data is more relevant than it appears. In contrast to Structured data, such as organized charts and tables, unstructured data includes "everyday" data, such as pictures and sounds, which is much more difficult for computers to analyse. For Artificial Intelligence, tackling unstructured information is a big breakthrough. It certainly leaves more time on your hands for clearing up more important jobs.

Missing data is a major problem for most businesses. A recent Openprise study found that 41 percent of surveyed B2B marketers considered missing contacts their data's greatest shortcoming. Another 39 percent cited missing field values as the biggest problem.
Luckily, as they're fed data, deep-learning models get smarter about what's captured and what's conspicuously missing. After identifying missing data, deep learners can track it down. It is of the utmost importance to understand the way AI can function for the best results and what are the advantages that you can use as well as all other possibilities that you do not even know about.
Data crawling, natural language processing, machine learning and artificial intelligence, all this can help business leaders to optimize prospect data and sell more efficiently.
Three-quarters of executives believe AI will enable their companies to move into new businesses. Almost 85% believe AI will allow their companies to obtain or sustain a competitive advantage. But only about one in five companies has incorporated AI in some offerings or processes. Only one in 20 companies has extensively incorporated AI in offerings or processes. Less than 39% of all companies have an AI strategy in place. The largest companies — those with at least 100,000 employees — are the most likely to have an AI strategy, but only half have one.
Unlike traditional models, which require specific rules and feature sets to extract meaning from data, deep learning models autonomously draw conclusions and create their own classification rules from unstructured data.