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In the Era of AI, How Accounting Jobs Can Survive Against Odds?

In this contributed article, Nishant Kadian, an editor at Ace Cloud Hosting, discusses the evolution of the accounting profession with respect to new technologies that institute change, along with a view for how the latest tech revolution, AI, may affect the field.

Report: An In-Depth Look at Big Data Trends and Challenges

Our friends over at Qubole announced the results of its “2018 Big Data Trends and Challenges” report — an annual, global survey of IT and data professionals on the trends, challenges, and solutions of big data and machine learning initiatives across the enterprise. The survey found that the value achieved from big data in on-premises environments has significantly lagged behind expectations, and as a result, companies are rapidly shifting to the cloud for applications centered around machine learning (ML), and analytics.

How Predictive Analytics Is Being Used in Inventory Management

In this contributed article, technology writer and blogger Kayla Matthews suggests that when companies depend on predictive analytics platforms for inventory management, they can avoid pitfalls and succeed in demanding marketplaces. The lack of effective inventory management practices can lead to upset customers, plunging profits and productivity losses. Fortunately, technology offers assistance in ways that weren’t possible in earlier eras.

End User Data Preparation is More Than Data Wrangling

In this special guest feature, Pete Aven, Director of Sales Engineering for FactGem, offers a discussion that strives to open the eyes of enterprise decision makers to the opportunities for end user data prep in a context beyond simplified data wrangling.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – September 2018

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.

Data Pruning Technology for Data Retention

Aparavi helps organizations master out of control unstructured data growth. The company’s new whitepaper, titled “Multi-Cloud Active Archive,” explains the benefits of a storage model that includes data pruning technology to reduce secondary data growth by 75%.

The insideBIGDATA IMPACT 50 List for Q4 2018

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!

Five Ways You’re Already Using Machine Learning: A Day with AI

In this special guest feature, Mark Scott, CMO at Apixio, highlights the prevalence of machine learning in everyday life and offers five ways you’re (probably) already using machine learning all without you realizing or thinking about it.

“Above the Trend Line” – Your Industry Rumor Central for 10/15/2018

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.

New Research Uncovers $500 Million Enterprise Value Opportunity with Data Literacy

According to a major academic study commissioned by Qlik®, on behalf of the newly launched Data Literacy Project, large enterprises that have higher corporate data literacy experience $320-$534 million in higher enterprise value (the total market value of the business). Corporate data literacy is the ability of a company workforce to read, analyze, utilize for decisions and communicate data throughout the organization.