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Proptech and the Rising Tide of Technology in the Real Estate Industry

In this contributed article, freelance human Avery Phillips discusses how the real estate industry has begun reaping the rewards that big data and data-driven technologies can provide. The huge amounts of data generated by the real estate industry can be leveraged to its advantage even further going forward as new technology and ideas are pushing the envelope for the real estate industry at both the macro and micro scale.

Conversational AI—A New Wave Of Chat-Enabled Customer Service

In this contributed article, Henry Vaage Iversen, Co-Founder and Chief Commercial Officer for www.boost.ai, discusses how conversational AI-powered virtual agents have begun to take over from the inefficient chatbots of the previous decade, standing up to current customer service requirements as we move into 2020 and beyond.

How AI Is Being Used to Assist U.S. Veterans

In this contributed article, tech blogger Caleb Danziger outlines how AI can be used in every sector, including in the government and even Veterans Affairs, or the VA. With the limitless uses of AI, the United States VA is turning it into a tool to help the country’s veterans in many different ways. The VA didn’t have to change how AI worked to make it useful though. Instead, they embraced the AI we use in our everyday lives and shaped it into something a little more specific.

insideBIGDATA Latest News – 1/20/2020

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Infographic: It’s 2020, is your business AI-ready?

60% of business leaders urgently need a strategy for deploying artificial intelligence in their organizations, but only half of their organizations have a plan. This infographic by our friends over at Noodle.ai outlines what AI can do for businesses and how to go about implementing a plan.

Beyond the AI Hype: Four Factors Businesses Should Consider Before Investing in AI

Despite significant hype, most companies still struggle with how to successfully integrate artificial intelligence into their businesses, according to Lux Research’s new report on the state of AI and how companies can improve decision-making around AI.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2019

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

The insideBIGDATA IMPACT 50 List for Q1 2020

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

Infographic: The People and Tech Behind Data Science

Our friends over at Noodle.ai produced the infographic below that outlines what data scientists do and the tech they rely upon to get results. Data science: math, data, AI & the scientific method. Data scientists use heterogeneous data to solve complex problems.

The Secret to Accurate Machine Learning Models is Data Transformation

In this contributed article, Damian Chan, Solutions Engineer with Matillion, discusses how machine learning can help your business process and understand data insights faster – empowering data-driven decisions to be made across your organization. For machine learning to be successful, however, your models will need to consume clean data sets. As the quality of your data increases, you can expect the quality of our insights to increase as well. Transforming data for analysis can be challenging based on the growing volume, variety and velocity of big data. This challenge will need to be overcome to unlock the potential of your data and to mobilize your business to move faster and outpace competitors.