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Survey: 96% of Enterprises Encounter Training Data Quality and Labeling Challenges in Machine Learning Projects

IDC predicts worldwide spending on artificial intelligence (AI) systems will reach $35.8 billion in 2019, and 84% of enterprises believe investing in AI will lead to greater competitive advantages (Statista). However, nearly eight out of 10 enterprise organizations currently engaged in AI and machine learning (ML) report that projects have stalled, and 96% of these companies have run into problems with data quality, data labeling required to train AI, and building model confidence, according to information released from Alegion.

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

New AI Capabilities Empower More Intelligent Real Estate Location and Development Decisions

As today’s digital disruption has led to shifting consumer shopping behaviors and more flexible workplaces, retail brands and enterprises need to nimbly and strategically respond to these changes to survive and thrive. New AI platforms are now playing vital roles in enabling retailers, restaurants and corporate enterprises to make smarter, more informed data-driven decisions around their real estate and facilities strategies, while also keeping capital and operating expenditures low.

Keys to Successful AI Solutions

To be successful in implementing AI solutions and to take leadership roles within various industries, students need to develop technical skills in machine learning, data management, and cloud computing. To address the growing need for AI expertise in industry, Northwestern University School of Professional Studies recently announced AI specializations within its Master of Science in Data Science and the Master of Science in Information Systems programs, as well as an AI certificate program.

UC Berkeley Graduate Receives ACM Doctoral Dissertation Award

ACM, the Association for Computing Machinery, announced that Chelsea Finn receives the 2018 ACM Doctoral Dissertation Award for her dissertation, “Learning to Learn with Gradients.” In her thesis, Finn introduced algorithms for meta-learning that enable deep networks to solve new tasks from small data sets, and demonstrated how her algorithms can be applied in areas including computer vision, reinforcement learning and robotics.

LevaData Introduces Cognitive Sourcing for New Product Introduction Teams

LevaData, the company that delivers applied AI to transform strategic sourcing and procurement, announced the launch of LevaData NPI (New Product Introduction), a solution extension of the LevaData Cognitive Sourcing Platform. Designed and built for enterprise manufacturing companies, LevaData NPI offers industry-first supply chain insights and actionable guidance to product planning, launch and introduction teams.

MarkLogic® Enhances Data Hub with Embedded Machine Learning for Smarter Data Integration

MarkLogic Corporation, the next generation data platform provider for simplifying data integration, announced Embedded Machine Learning and other features in the latest versions of the enterprise-grade MarkLogic Data Hub 5.0 and the MarkLogic 10 multi-model database. The enhancements make MarkLogic’s full stack offering an unparalleled enterprise solution for integrating, curating, securing, analyzing and acting on business-critical data as MarkLogic pushes the limits of modern data integration.

Take Your Business Use Cases to the Next Level with AI & ML

Industry leader, TIBCO released insights from a survey “CXO Innovation Survey” that polled 600+ c-suite executives about the key AI/ML use cases that are being used in businesses today. According to the survey, data security is considered the top AI/ML use case among c-suite executives. Included are the top rated AI and ML use cases.

“Above the Trend Line” – Your Industry Rumor Central for 5/6/2019

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Are Machines the Answer to More Personal Marketing?

In this contributed article, Mellissa Flowerdew-Clarke, Marketing Director UK & US for Dept, discusses how AI and machine learning are poised to curate the optimal ad experiences of the future. This piece covers various examples of how this tech allows for the ultimate in personalization. Mellissa also explores whether or not people really want this much personalization when it means having their data harvested. As AI and machine learning tech continue to develop, brands and consumers will need to decide whether the give and take is worth it for them.