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Ronald van Loon

About Me

Ronald van Loon is a top10 Big Data, Data Science, IoT, and BI Influencer. Recognized for his work in the field of digital transformation by such publications and organizations as Onalytica, Dataconomy, and Klout, he is also an author for a number of leading big data websites, including The Guardian, The Datafloq, and Data Science Central, and regularly speaks at renowned events and conferences. You can reach him at LinkedIn and Twitter.

How Leading Organizations are Leveraging Big Data and Analytics

With big data, the conversing data becomes loud and noisy. You don’t hear the voice; you hear the cacophony. This is where organizations struggle.And, amidst a struggle, you look up to the leaders to see how they are rising to the challenge. You observe, you learn, you implement and you adapt. This is the first article of my “Under the Spotlight” series, where we will look at how leading organizations are leveraging big data and analytics, filtering out white noise from the cacophony in the process—to closely follow and benefit from what data has to say.  

The Role of AI in Assisting Customer Experience

The future of AI and what it transpires into, lies in the hands of those controlling the characteristics that bind this innovation. We can now imagine and think of ideas which might have made you a laughing stock a few years ago. From a computer system playing chess with the masters to driverless cars, the possibilities associated with AI are many. Considering the high skill levels of machines with AI, the technology can be used in numerous fields to expand human capabilities, to optimize the use of resources, and to enhance productivity.

For AI to Change Business, It Needs to Be Fueled with Quality Data

AI advancement has rapidly accelerated during the last decade. Some people say AI will augment humans and maybe even make us immortal; other pessimistic individuals say AI will lead to conflict and may even automate our society out of jobs. Despite the differences in opinion, the fact is, only a few people can identify what AI really is. Today, we are surrounded by minute forms of AI, like the voice assistants that we all hold in our smart phones, without us knowing or perceiving the efficiency of the service. From Siri to self-driving cars, a lot of promise has already been shown by AI and the benefits it can bring to our economy, personal lives and society at large. The question now turns to how enterprises will benefit from AI. 

The Role of AI in Assisting Customer Experience

The future of AI and what it transpires into, lies in the hands of those controlling the characteristics that bind this innovation. We can now imagine and think of ideas which might have made you a laughing stock a few years ago. From a computer system playing chess with the masters to driverless cars, the possibilities associated with AI are many. Considering the high skill levels of machines with AI, the technology can be used in numerous fields to expand human capabilities, to optimize the use of resources, and to enhance productivity.

What Skills Do I Need to Become a Data Scientist?

Leveraging the use of big data, as an insight-generating engine, has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it is to refine the process of product development, help improve customer retention, or mine through the data to find new business opportunities—organizations are increasingly relying on the expertize of data scientists to sustain, grow, and outdo their competition. Consequently, as the demand for data scientists increase, the discipline presents an enticing career path for students and existing professionals. This includes those who are not data scientists but are obsessed with data, which has left them asking:

Augmented Analytics: Democratizing Insights and Empowering Business Users

Augmented Analytics incorporates AI, machine learning, and business intelligence into existing workflows. Augmented analytics is implemented in all kinds of industries, including sales and marketing, finance, HR, and accounting. The primary point of augmented analytics is to ensure that regular business users can benefit from it. Businesses no longer have to rely on someone with a data-related degree to make sense out of their analytics. Hence, augmented analytics promotes a decision-making culture that is solely based on facts and figures. 

Preparing for AI Driven Future with Hybrid Cloud

The biggest opportunity to move to the cloud presents is that of future-readiness. The hybrid cloud system will dictate the way organizations work in the future. Cloud makes it easier and faster to build new AI-driven applications which make public cloud attractive to leverage for digital business opportunities.  The hybrid cloud uses the best of all worlds to deliver the desired results to you. Companies get the versatility, scalability, and cost-effectiveness of public cloud, along with the security, dependability, and compliance of private cloud.

Build an Analytics Strategy for an AI Driven Future with the Hybrid Cloud

Information and data are currently located on legacy systems within organizational premises, which is why accessibility and real-time insights are found lacking. The move to the cloud can address this concern thoroughly.  Adapting to the constantly changing market landscape around us is key to being ready for what the market may hold in the future. AI strategies are at the forefront of all tactical organizational decisions. Your hybrid cloud system can help you gain real business value through AI by incorporating all the facets in one place. 

AI Is Transforming Real-Time Data Governance

Data governance encompasses responsibilities and processes for the security and quality of data, which is used by an organization. Policies for data governance have to grow with upcoming technologies, business practices, and emerging laws. Today, companies have to think about how they are going to use data in terms of storage and processing.  The inclusion of AI can change things for the better. With automation, they can enhance the implementation of security and compliance in their data centers. 

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