Random Forest Algorithm for Machine Learning

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Have you ever asked yourself a series of questions in order to help make a final decision on something? Maybe it was a simple decision like what you wanted to eat for dinner. You might have asked yourself if you wanted to cook or pick food up or get delivery. If you decided to cook, then you would have needed to figure out what type of cuisine you were in the mood for. And lastly, you probably needed to figure out if you had all of the ingredients in your fridge or needed to make a run to the store.


Artificial Intelligence (AI) in real estate industry - ELE Times

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The ongoing adoption of AI and automation technologies will transform the way people work and cause a disruption, particularly in industries like real estate, finance and banking. Since the start of the industrial revolution, the world has seen skills shift in a way that has resulted in ever-changing jobs and newer skills required to keep pace with emerging technologies. According to McKinsey, these technologies "will bring numerous benefits in the form of higher productivity, GDP growth, improved corporate performance, and new prosperity, but they will also change the skills required of human workers." The real estate sector is in a great position to leverage AI and automation technologies to increase productivity, reduce costs and minimize errors. The number of workers who are engaged in manual tasks that only require basic cognitive skills will likely decline.


Training and Operationalizing Interpretable Machine Learning Models

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The Open Data Science community is passionate and diverse, and we always welcome contributions from data science professionals! All of the articles under this profile are from our community, with individual authors mentioned in the text itself.


DeepSig Raises $5M Series A Financing to Advance AI in 5G Radio Access

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DeepSig, a company developing AI to transform wireless for 5G, IoT, and security, raised $5M in its Series A Financing, adding to the $3.5M previously raised. Leawood Venture Capital led the Series A round with participation by Scout Ventures, Blu Venture Investors, and Lockheed Martin Ventures. The additional funding will accelerate DeepSig's AI and machine learning (ML) software development and deployment to improve performance and security while reducing power consumption and cost in 5G and other wireless systems. "We are excited to include DeepSig as a portfolio company in our Fund. Their proven leadership team, combined with their groundbreaking patented technology will have a significant impact across wireless access, 5G networks, and defense markets," said Brendan Fallis, Co-Founder and Managing Partner of Leawood Venture Capital.


Artificial Intelligence (AI) Market is Projected to Reach USD 169.9 Billion in 2026

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The major factors propelling the growth of the Global Artificial Intelligence (AI) market include the rise in the adoption of cloud-based applications and services and the growth of big data across the globe. The advanced AI technologies is continuously enhancing the performance of economies, businesses and different industries. The growing demand for intelligent virtual assistants across different verticals in several industries will have a positive impact on the Global Artificial Intelligence (AI) market during the forecast period. The increased integration of image recognition technology with optical character recognition, pattern matching and face recognition in various end-use applications such as drones, self-driving cars and robotics will propel the growth of the artificial intelligence market during the forecast period. Various multinational giants are largely focusing on mergers and acquisitions with emerging start-ups in order to capture the highest market share and gain a competitive advantage over the other market players.


The importance of talent and culture in tech-enabled transformations

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The professionals with the jobs of carrying out, adopting, and sustaining tech-enabled transformations deserve as much attention as the technological solutions they create and oversee. When an organization manages both its talent and culture effectively, the interplay between them can create a virtuous cycle: attracting talent, sparking innovation, and creating impact. However, transforming organizations' culture and talent in a tech-enabled transformation is often more challenging than tackling the technical elements. Creating the right talent and culture for a tech-enabled transformation is not easy. Respondents to a McKinsey survey of global executives said that culture and talent occupy two of the top three slots for the most significant challenges to tech-enabled transformations (Exhibit 1). 1 1.


Data Science in BFSI Sector - Importance and Benefits for Entrepreneurs

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Data Science is helping the banking industry become smarter in managing the myriad challenges it faces today. While basic reporting and descriptive analytics continue to be a must-have for banks, predictive and prescriptive analytics are now starting to generate powerful insights, resulting in a significant value add. Banks are increasingly using machine learning to power their operations, but the adoption of these new technologies is not widespread across the other departments. The road to comprehensive implementation of machine learning to solve challenging business problems in banking is fraught with technological and organizational challenges. Moreover, banks today generate huge volumes of internal data (customer accounts, credit scoring, payments, assets, etc.) and now need to understand its linkages to external data (interest rates, macroeconomic variables, and customer preferences).


Global Artificial Intelligence Software Market: What it got next? Find out here. - Sound On Sound Fest

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For instance, a mixture of primary and secondary research has been used to define Artificial Intelligence Software market estimates and forecasts. Sources used for secondary research contain (but not limited to) Paid Data Sources, Technology Journals of 2013-2018, SEC Filings Company Websites, Annual Reports, and various other Artificial Intelligence Software industry publications. Specific details on the methodology used for Artificial Intelligence Software market report can be provided on demand. In addition, It highlights the ability to increase possibilities in the coming years by 2023, also reviewing the marketplace drivers, constraints and restraints, growth signs, challenges, market dynamics. "Global Artificial Intelligence Software Market" gives a region-wise analysis like growth aspects, and revenue, Past, present and future forecast trends, Analysis of emerging market sectors and development opportunities in Artificial Intelligence Software will forecast the market growth. Regional scope: Artificial Intelligence Software market is divided into various regions like North America, Middle-East a and Africa, Asia-Pacific, South America, and Europe. Country scope: Artificial Intelligence Software market is divided into United States, Mexico, Canada, Germany, Singapore, U.K., Italy, Russia, France, Spain, China, India, Japan, South Korea, Australia, Brazil, Colombia, Paraguay, Saudi Arabia, South Africa, Egypt, and UAE, ASEAN countries.


Microsoft Invests In A New AI For Health Initiative

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As one of the richest people in the world, Bill Gates is known for contributing to global health through the Gates Foundation. As his biggest legacy, Microsoft is also moving in the same direction. The company is actively involved in helping the world's population overcome some of the most challenging health problems and concerns. Microsoft recently announced a new healthcare initiative known as "AI for Health," a program worth over 40 million dollars. AI for Health evolved out of the AI for Good Program, which offers general aid to the less fortunate around the world.


How AI is Changing the Field-of-Play for Organizations - IntelligentHQ

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Artificial intelligence can be found in many of the devices and software systems we use for our personal lives and professional responsibilities. Whether it's the digital assistant you keep in your kitchen to set voice timers while cooking or the customer service representative you're sending messages to about return policies online, this technology is encountered more and more each day as its capabilities expand. Many organizations are integrating digital software programs that come with AI technology built into them in order to modernize, digitize, and increase efficiency for purchasing and production. Chatbots, one of the most popular types of tech benefiting businesses, are digital assistants often incorporated into digital software programs internally to save the time and energy of an employee. The chatbot serves the purpose of answering site visitor questions and handling customer service requests, which can free up time on employees' busy schedules and allow them to dedicate more time to other projects.