AI Software Platform Market Investment opportunities, Strategic Assessment,Industry Revenue, Trend Outlook and Key Findings | Development Strategy, Growth Potential, Analysis and Business Distribution

Drips, the founders of Conversational Texting®, today announced it will be the headline sponsor in this year’s Contact.io conference on September 12-14 in Denver, Colorado.

The company unveiled their conversational AI platform for the first time at the 2016 Contact.io conference and has come a long way in the past four years, experiencing a growth rate of 1,115%.Conference participants will have the opportunity to engage with subject matter experts in the Drips booth to learn how to drive engagement through the SMS channel.

Attendees will also hear from Drips’ leaders during a dedicated panel session, “The State of the Contact Industry,” and a breakout session, “The Art of the Message.”

CartUp AI is a cutting-edge AI solution for e-commerce.

It is a SaaS solution that delivers immediate e-commerce sales growth through powerful AI.

By deploying CartUp AI within their e-commerce platform, e-commerce merchants will improve e-commerce conversion and upsell through recommendations and Ecommerce Personalized search.  

The HR domain is ensnarled with a slew of mundane and repetitive tasks, preventing them from focusing their capabilities towards more high-yielding areas. The advent of new technologies has resulted in the dawn of disruptions that have transformed the way the 21st-century business functions. The older workplace dynamic has given way to the rise of Intelligent enterprise where technology drives the business through actionable insights across all lines of business. A conversational chatbot is one such example of technological advancement which through its cognitive abilities and NLP is driving personalized and precise dialogues, catering to numerous employee-related processes.

The employees nowadays want everything at the click of a button or via a provision of a live and conversational chat. The time is of the essence for any engagement and any lack of it is detrimental to the overall image of an organization. Conversational chatbots allow uninterrupted and personalized dialogue from the very first engagement with the employee.

Wearables in the healthcare sector use AI in different ways to enhance the quality of life.

An example is of AI-powered diabetic’s eye disease detection from researchers in the Google Brain ini­tiative.

Next-generation wearables for blind people is another example, these wearables detect objects using ultrasounds on the user’s route and alert them of those objects so that users can move safely around the object.

Global Market Database is a world’s first dynamic Market Research Platform which provides Market Research Reports For Free.Demography of Wearable AI usersDue to the high per capita income of customers in the region, North America holds over 30% of the market in the wearable AI industry.

Also, the strong acceptance of smart wearables by consumers between 16 and 34 years of age has promoted the adoption of the wearable market for artificial intelligence in the US.

For a while now, wearables have been a part of the mainstream in Japan, but they have recently recorded increased popularity, propelled by the rapid developments in AI technology.Wearable AI in FranceAmong the IoT and AI technologies for quality of life, healthcare is one of the major markets in France.

The Legal AI Software Market 2021 research report gives emerging industry data, global segments and regional outlook.

This report covers up all details such as size, share, value, growth, restraints, and opportunities for the year 2020 to 2027.

The report generated using various analysis tools like porter’s five forces model, market attractiveness and value chain.

The report gives comprehensive review of the global market helping to club revenue generation and profitable business to transform client’s success.The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide.

The major players in the legal AI software market include Ross Intelligence, Thomson Reuters, Veritone, IManage, Luminance, LexisNexis, Neota Logic, Everlaw, Legalsifter, Pensieve, Cognitiv+ and Casetext.

This section includes a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.Get more information on "Global Legal AI Software Market Research Report" by requesting FREE Sample Copy at https://www.valuemarketresearch.com/contact/legal-ai-software-market/download-sampleMarket DynamicsFactors like accuracy, efficiencies, cost savings and speed is the major factor driving of legal AI software market.

According to a new market research report "Legal AI Software Market by Component (Solutions and Services), Deployment Mode, Technology, End User (Corporate Legal Departments and Law Firms), Application (Legal Research, Contract Management, and eDiscovery), and Region - Global Forecast to 2024" published by MarketsandMarkets™, the Legal AI Software Market  expected to grow from USD 317 million in 2019 to USD 1,236 million by 2024, at a Compound Annual Growth Rate (CAGR) of 31.3% during the forecast period.

The contract management is expected to grow at the highest CAGR during the forecast period, owing to an increasing demand for AI-powered solutions to streamline the entire contract management process using legal AI software solutions.ML and deep learning technology to hold the largest market size during the forecast periodThe legal AI software market by technology has 2 segments: ML and deep learning, and NLP.

In the region, the growth rate can be attributed to various factors including the adoption of advanced technologies, economic developments, increasing customer demand, and high investments by legal AI software solution providers.

Driving forces in the region are large-scale investments, funding, and R activities in the market space.

Major law firms and independent lawyers are adopting legal AI software solutions rapidly.Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=88725278The legal AI software market report provides the competitive landscape and company profiles of the key vendors by their product offerings and business strategies.

Major vendors in the global legal AI software market include IBM (US), OpenText (US), Thomson Reuters (US), Veritone (US), ROSS Intelligence (US), Luminance (US), LexisNexis (US), Neota Logic (US), Everlaw (US), Legalsifter (US), Pensieve (India), Cognitiv+ (UK), Casetext (US), Klarity (US), Omni Software Systems (US), Nalanda Technology (UK), LawGeex (Israel), Kira (US), and CaseMine (India).About MarketsandMarkets™MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues.

MACHINE LEARNING & ARTIFICIAL INTELLIGENCE DEVELOPMENT SERVICES

Computer Vision, Natural Language Processing, Reinforcement Learning, Robotics.

Believe it or not, but every 5th task performed in IT systems can be automated or performed more efficiently using Artificial Intelligence, Machine Learning, or Data Science. And there are tasks, like leveraging unstructured data, that are only feasible with these technologies. Our clients all over the world already use Data Analytics and Artificial Intelligence to make their products more competitive with functions like recognizing video and images, sales and costs predictions, and more.

Sachin Dev Duggal Engineer.ai explains how he wants to bring the cost of creating an app down for businesses and make it simpler than ever to do so.

Engineer.ai founded in 2016, and the ‘Builder’ platform will be launching in June.

The company was founded because to create a platform that would enable anyone to make a software idea into a reality without needing expertise knowledge in development and coding.

Global Edge AI Software Market was valued at US$ 346.3Mn in 2017 and is expected to reach US$ 1986.3Mn by 2026, at a CAGR of 24.4% during a forecast period.

The objective of the report is to present a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, industry-validated market data and projections with a suitable set of assumptions and methodology.

Further, the report also focuses on the competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence.

The report also provides PEST analysis, PORTER’s analysis, SWOT analysis to address the question of shareholders to prioritizing the efforts and investment in the near future to the emerging segment in the Global Edge AI Software Market.The report study has analyzed revenue impact of covid-19 pandemic on the sales revenue of market leaders, market followers and disrupters in the report and same is reflected in our analysis.Artificial intelligence (AI) processing today is generally done in a cloud-based data centre.

The energy and utility vertical comprise high-stake, technology-driven operations, which depend on real-time insights to provide proactive monitoring and protection beside machinery and equipment failure.

Mainly operations happen at a remote area and lack reliable network infrastructure; edge AI software provides data analytics on edge devices to enable real-time response, which is essential for extreme production and safety.Region-wise, North America is the important income creating a region in the edge AI software market globally.