In our current digital age, data is being produced at an unprecedented rate. With the increasing reliance on technology in our personal and professional lives, the volume of data generated daily is expected to grow. This rapid increase in data has created a need for ways to make sense of it all. Machine learning is […]
Enterprise Blockchain Implementation: Use Cases and Challenges
Blockchain provides a functional and efficient tool for recording business transactions, contractual agreements, and private records. A blockchain can be described as an encrypted digital recording of transactions that is duplicated and distributed to computers that are part of the blockchain network. This form of communicating and sharing recorded data is extremely difficult to hack […]
Machine Learning Solutions
Machine learning solutions can be considered a subdivision of artificial intelligence, with multiple machine learning algorithms combined to create artificial intelligence. Some of these algorithms can, however, be used to accomplish specific, limited tasks, ranging from answering phones to recognizing images. Machine learning (ML) solutions are normally used in situations requiring adaptability, a limited variety of […]
Fundamentals of AI Ethics
In the world of enterprise technology, AI is a fast-growing sector, with no end in sight. A recent survey by PwC found that 86% of executives expected AI to become mainstream in their organization soon. Data-driven businesses want to reap the benefits of AI implementation, including better customer relationships, more efficient business processes, and valuable marketing data. […]
Five Types of Advanced Analytics Challenges
Many data scientists and analytics consultants complain they were hired to be a part of advanced analytics teams at corporations, but all they do is data analysis or reporting work. The bigger problem here is that the personnel leading these teams genuinely believe their problem statements are advanced in nature. And rightly so – as […]
Innovations in Deep Analytics Are Critical to the Future of Supply Chains
Digital transformation accelerated very quickly during the global pandemic, leading to 10 years of innovation in just three months. The abrupt changes came mere weeks after the rules of the California Consumer Privacy Act (CCPA) went into effect and just a few months before they were enforced. As the risk of new fines piled up – at […]
Understanding Machine Learning Within an AI Context
Machine learning is ubiquitous in our everyday life. Whether or not you know it, the odds are that machine learning powers the applications you use daily. It’s the underlying technology behind many apps on your smartphones, from Siri to virtual assistants to Google Maps and more. Businesses also use AI and machine learning to automate processes, gain […]
The Future of AI Ethics – AI Apocalypse or Robot Rights?
The answer is anybody’s guess, I argue in my last article about AI ethics. But it is our responsibility to try to shape the future we want. Some AI experts are convinced the world is hurtling towards the Singularity, the point at which the trusted division between man and machine is erased as computers become cleverer than – […]
Machine Learning Algorithms
Machine learning algorithms establish rules and processes that are used while processing a specific problem. These algorithms analyze data to predict the probable results of certain behaviors. As new data is received, these algorithms learn, optimizing and improving their responses using feedback from previous performances. Combinations of machine learning algorithms can produce artificial intelligence (AI). Machine […]
What Is Data-Centric AI All About?
Data-centric AI (DCAI) is a new class of AI technology that focuses on understanding, utilizing, and making decisions based on data. Before data-centric AI, AI was largely reliant on rules and heuristics. While these could be useful in some cases, they often led to suboptimal results or even errors when applied to new data sets. […]