DATA SCIENCE
Why Public Cloud Services Will Become Essential for Data and Analytics Innovation
Cloud computing services started as a niche area for tech companies and savvy young professionals. Storing files and data "in the cloud" was originally subject to file size restrictions and technical limitations that kept it from catching on with companies in most...
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The Rise of Decision Intelligence: AI-Optimized Decision Making
The use of artificial intelligence in business continues to evolve as massive increases in computing capacity accommodate more complex programs than ever before. Decision intelligence, the intersection of technology and business needs, helps companies think on a...
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Achieving Smarter AI with NLP
Experts predict that 30% of companies will base decisions on graph technologies by 2023. This change and a shift to operationalizing AI may cause an increase in streaming data and analytics infrastructures. Several AI techniques, including machine learning (ML),...
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Decline of the Analytics Dashboard
In the fast-changing and hyper-competitive business world, both small and large organizations must keep a close eye on their data and analytics. Internal company data is more useful than ever because of how expansive big data has become and how much it can tell us...
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Digital Transformation: Not A Choice But A Necessity
In the last decade, the term ‘digital’ has been thrown around more often than ‘google it’. Perhaps that’s the reason why the concept of digital transformation, when introduced to companies, was mildly misunderstood by them. Digital transformation as a process it’s not...
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8 Performance Optimization Techniques Using Spark
Due to its fast, easy-to-use capabilities, Apache Spark helps to Enterprises process data faster, solving complex data problems quickly. We all know that during the development of any program, taking care of the performance is equally important. A Spark job can be...
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How Predictive Analytics in Finance Can Accelerate Data-Driven Enterprise Transformation
As the U.S. economy faces unprecedented challenges, predictive analytics in financial services is necessary to accommodate customers’ immediate needs while preparing for future changes. These future changes may amount to enterprise transformation, a fundamental...
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7 Reasons to Start Using Customer Intelligence in Your Healthcare Organization
Healthcare organizations face an array of challenges regarding customer communication and retention. Customer intelligence can be a game-changer for small and large organizations due to its ability to understand customer needs and preferences. When it comes to data,...
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The Future of Analytics in Higher Education with Artificial Intelligence
The future is sooner than you would have expected – it is now. Contrary to concerns about Artificial Intelligence (AI) in everyday activities, ethical AI can enhance a balanced, accessible, scalable, and inclusive learning system. With the increasingly limited...
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How Big Data Analytics Helps Healthcare Providers Shift to Digital Value-Based Care
Many healthcare providers are attempting to improve their patient services by enhancing patient outcomes and lowering costs. Big data in healthcare can make this shift possible by creating actionable information out of big data databases. Why a Shift? Some...
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Utilizing Big Data to Improve Patient Outcomes in Home Healthcare
The benefits of big data in healthcare have been established in the literature, although challenges remain in the collection and standardization of data. Similarly improved patient outcomes can result from the purposeful use of big data related to home healthcare. ...
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Natural Language Processing – Part 1: Building a Pre-Processing Pipeline
We can say that there is a plethora of text data generated every day. People are using many social media apps, messaging apps, and blogs on a day-to-day basis. All these applications are generating a large amount of unstructured text data. According to the 6th edition...
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Leveraging Healthcare Data to Support Patient Engagement
Patient disengagement leads to serious negative consequences including hospitalization and preventable deaths. It is imperative that healthcare providers take innovative steps to improve patient engagement and consequent health outcomes. As in many other fields, big...
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Robotic Process Automation – An Approach to Consider in 2020
"Our intelligence is what makes us human, and AI is an extension of that quality." – Yann LeCun, Professor, New York University The above quote makes us think that robots, chatbots, artificial intelligence, machine learning are extensions of ourselves. Various...
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Using Big Data Analytics to Create Customer Intimacy in Healthcare
Physicians sometimes see dozens of patients in a single day, making it difficult to build rapport with them. Even with in-depth efforts to collect patient data at the beginning of an appointment, physicians and nursing staff may find themselves puzzled by a patient’s...
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Using Big Data to Attract and Retain the Digital Banking Customer
As customers begin to use more online banking services, their expectations have increased and changed. In years past, customers were happy with basic online account management that let them view details for existing accounts. Now, customers want to have the ability to...
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Benefits of Mobile Business Intelligence For Your Business
There are currently 3.50 billion smartphone users around the world. With it, the possibilities of developing successful mobile BI strategies for your business are endless. Here are some of the most relevant benefits of Mobile BI for your business: 1. Business On...
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Data Science vs. Data Analytics: What’s the Difference?
Improvements in data collection and storage have allowed companies to prevent fraud, streamline operations, and gain new insights into consumers. However, implementing new measurement systems requires a team of professionals who can create software, run programs, and...
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5 Ways Cloud Computing Makes Data Scientists Productive
Data science is becoming more prevalent now, so the typical approach of using local computers is no longer supporting the pace of this fast change. Extending data science work to the cloud provides data scientists with options that will make them more productive with...
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Why does Healthcare Need to Leverage AI to Save Lives?
The healthcare industry is one of the most popular industries for the implementation of artificial intelligence. The market revenue in 2014 was $633.8 million and it’s estimated to reach $6,662.2 million by 2021. However, market growth aside, there are more important...
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