December, 2017

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Machine Learning & Data Analysts: Seizing the Opportunity in 2018

Dataconomy

Undoubtedly, 2017 has been yet another hype year for machine learning (ML) and artificial intelligence (AI). As ML and AI become increasingly ubiquitous in many industries, so does the proof that advanced analytics significantly improve day-to-day operations and drive more revenue for businesses. Yes, it’s true – enterprises worldwide have. The post Machine Learning & Data Analysts: Seizing the Opportunity in 2018 appeared first on Dataconomy.

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OMSCS CS7641 (Machine Learning) Review and Tips

Eugene Yan

OMSCS CS7641 (Machine Learning) - Revisiting the fundamentals and learning new techniques.

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Training a new entity type with Prodigy – annotation powered by active learning

Explosion

In this video, we’ll show you how to use Prodigy to train a phrase recognition system for a new concept. Specifically, we’ll train a model to detect references to drugs, using text from Reddit.

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A strong and simple baseline to classify toxic comments on wikipedia with keras

Depends on the Definition

This time we’re going to discuss a current machine learning completion on kaggle. In this competition, you’re challenged to build a multi-headed model that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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10 Ways to Use Business Intelligence Software in Your Organization

Dataconomy

Business intelligence, or BI, plays a key role in the strategic planning of organizations and is used for multiple purposes, including measuring performance progress toward business goals, performing quantitative analysis, reporting and data sharing, and identifying customer insights. Business intelligence involves the use of computing technologies to identify, discover and.

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How Blockchain Can Revolutionize Healthcare & Medical Records

Dataconomy

Blockchain technology has been at the center of media attention due largely to bitcoin, an upcoming digital currency that uses blockchain technology, increasing in value, netting investors unheard of returns. However, not many people actually understand what blockchain itself is. Simply put, a blockchain is a distributed, immutable ledger or. The post How Blockchain Can Revolutionize Healthcare & Medical Records appeared first on Dataconomy.

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How is Data Impacting HR?

Dataconomy

Today, professionals in HR departments are being forced to adapt to technological innovation – whether it’s in recruitment, hiring, payroll, or even the management of benefits. But if we look closely at what’s garnering the most attention right now, it’s one thing: data. HR managers must begin to understand the. The post How is Data Impacting HR?

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Ranking the World’s Top CEOs Using Social Media Sentiment Data

Dataconomy

CEOs of the world’s leading companies have a global influence that stretches beyond their own business and commercial interests. The general public is increasingly looking to the people steering some of the largest companies in the world for their views on political and social issues. In a Financial Times article. The post Ranking the World’s Top CEOs Using Social Media Sentiment Data appeared first on Dataconomy.

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FinTech in the Banking Environment

Dataconomy

Who goes there, friend or foe? The emergence and development of innovative and flexible financial startups is causing a revolution in financial markets by proving that financial services can be built from the ground up, in response to real user needs. So much so that gaining customers’ trust, along with. The post FinTech in the Banking Environment appeared first on Dataconomy.

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New Technology Has Changed The Face of Education

Dataconomy

With the advancement of technology over the past few years, we have seen a major change in the education sector. The way children are taught and the way the children are interacting with the teachers has changed a lot with the advancement of technology. Distance education has totally changed now; The post New Technology Has Changed The Face of Education appeared first on Dataconomy.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Random Data Explained: Harnessing the Benefits of TRNGs and PRNGs

Dataconomy

Data. Where would we be without it? We all know that it’s in the very DNA of our everyday life, from business to social experiences, from the smartphones in our hands to the cars we drive. Data is a driving force both directly and indirectly in our society – a fact that. The post Random Data Explained: Harnessing the Benefits of TRNGs and PRNGs appeared first on Dataconomy.

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Hiring or Managing a Team? Here Are 3 Tools You Should Be Using

Dataconomy

One of the perennial challenges that enterprises face is hiring high-quality employees that will stick around for the long haul. Technology is evolving to enable new ways of solving hiring problems that have long plagued companies across all industries. Take collaboration collaboration software and services, for example, which have allowed. The post Hiring or Managing a Team?

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“The Mindset is Often the Hardest Thing to Change” – An Interview with Karol Przystalski

Dataconomy

Karol Przystalski is the CTO and founder of Codete, a company specializing in IT consulting and implementation of innovative solutions for businesses. Karol obtained his Ph.D. in Computer Science from the Institute of Fundamental Technological Research, Polish Academy of Sciences, and has worked as a research assistant at Jagiellonian University in.