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Exploding quantities of data have the potential to fuel a new era of fact-based innovation in corporations, backing up new ideas with solid evidence. Buoyed by hopes of better satisfying customers, streamlining operations, and clarifying strategy, firms have for the past decade amassed data, invested in technologies, and paid handsomely for analytical talent. Yet for many companies a strong, data-driven culture remains elusive, and data are rarely the universal basis for decision making. Why is it so hard? Our work in a range of industries indicates that the biggest obstacles to creating data-based businesses aren’t technical; they’re cultural. It is simple enough to describe howRead More →

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Data engineers and data architects are in high demand. Here are the certifications that will give your career an edge. Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake big data initiatives can be even harder. Successfully deploying big data initiatives requires more than data scientists and data analysts. It requires data architects who design the “blueprint” for your enterprise data management framework, and it requires data engineers who can build that framework and the data pipelines to bring in, process, and create businessRead More →

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What Is the Token Economy? Token economics can be understood as a subset of economics that studies the economic institutions, policies, and ethics of the production, distribution, and … – Selection from What Is the Token Economy? [Book] Blockchain technology seems to be the driving force of the next-generation internet, what many refer to as Web3.Web3 enables tokenized economic interactions without intermediaries.It provides a unique set of data, a universal state layer, also referred to as the ledger, which is collectively managed by a network of untrusted computers. This unique state layer allows us to send digital values in the form of tokens entirely peerRead More →

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All the world’s tech leaders are racing to offer cutting-edge uses of artificial intelligence (AI). As a result, they use artificial intelligence in many ways and give us some of the best examples of artificial intelligence in practice. Here are the ten best examples of how companies use AI today. 1.   Alibaba Chinese company Alibaba is the world’s largest e-commerce platform that sells more than Amazon and eBay combined. Artificial intelligence (AI) is integral in Alibaba’s daily operationsand is used to predict what customers might want to buy. With natural language processing, the company automatically generates product descriptions for the site. Another way Alibaba uses artificialRead More →

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Many enterprises, vendors, and startups often confuse the role of data scientist and data engineers. While the overlap of these roles is substantial they’re not particularly interchangeable. As AI continues to become a focus for an increasing number of enterprises, these organizations are realizing how important it is to have the right people and skills in place. In particular, there has recently been a significant increase in demand for data scientists in organizations as AI, various applications of machine learning (ML), non-ML predictive analytics, and other so-called “big data” approaches continue to gain traction in the enterprise. In fact, the significant demand for data scientistsRead More →

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The existence of Digital Marketing strategies would be non-apparent without the existence of data science. Here’s how digital marketers can reap the benefits of data science by implementing it to their campaigns. Below is our list of the few benefits of implementing data science in digital marketing. Speeds up planning campaigns Marketeers can achieve quicker and easier planning of their campaigns by using data science. You already have the data on your site, on your current campaigns and social media channels. Data science enables you to gather and analyze the data more precisely and efficiently. This helps you to design and execute your campaigns muchRead More →

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Statistics for data science teams and leadership Data science, Sigma Six, analytics, and business intelligence are all different sides of a multi-sided polygon. Each has different tools, vocabularies, projects, and certifications. However, they all serve the business to reduce costs and increase revenues. These are practical tools that help businesses be more effective at what they do! And each comes with their own new styles of management practices and necessities for leadership to understand the actual value that can be gained from properly utilizing these tools. We wanted to help create a quick guide to help management and refresh data scientists memories on some ofRead More →

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Artificial intelligence is infiltrating every industry, allowing vehicles to navigate without drivers, assisting doctors with medical diagnoses, and giving financial institutions more nuanced ways to predict risk. But for all the authentic use cases, there’s a lot of hype too. Source: AI 50: America’s Most Promising Artificial Intelligence CompaniesRead More →

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AI is finding its way into a broad range of industries such as education, construction, healthcare, manufacturing, law enforcement, and finance. The sorts of decisions being made by AI-enabled systems is becoming much more profound, and in many cases, critical to life, death, and personal wellness. As artificial intelligence becomes an increasing part of our daily lives, from the image and facial recognition systems popping up in all manner of applications to machine learning-powered predictive analytics, conversational applications, autonomous machines, and hyperpersonalized systems, we are finding that the need to trust these AI based systems with all manner of decision making and predictions is paramount.Read More →