AI and machine learning models are being used to help companies stay competitive by discovering new revenue opportunities, improving risk management, detecting fraud, and streamlining business processes. But years ago, data science wasn’t even on the curriculum at universities, so many software engineers are acquiring the necessary skills on their own. From my experience, anyone who […]
Digital Transformation Examples for Business Success
Today, most businesses are embracing digital transformation to meet ever-increasing customer expectations and to remain competitive and relevant in the world economy. While many organizations still struggle to adopt new technologies – often due to the lack of a tailored digital strategy and the reluctance of many to change the way of business operations that […]
Get Context-Driven Natural Language Processing for Better Search Results
If your business is focused on data-driven, fact-based decisions, your business users may be leveraging an analytics solution to gather, find, and analyze data. Business goals include improving results and productivity and getting the best results out of your data, as well as gaining meaningful insight into data. But, you certainly want to accomplish all […]
The Role of AI in the Transformation of the Insurance Industry
The insurance industry has been traditionally conservative with technology advances and hesitant to adopt new technologies. However, times are changing, and artificial intelligence (AI) is gaining much attention from insurance companies, who are starting to realize the important role that AI can play in their operations. AI in the insurance industry is poised to bring […]
How AI Is Driving Data Speeds in Data Centers
Developments in artificial intelligence (AI) technologies have opened up major opportunities and improvements for data processing and analytics. Unfazed and even spurred by the COVID-19 pandemic, complex AI systems saw explosive demand to enable advances in data management, health care, knowledge graphs, and data science. This has led organizations to increase their AI and machine learning budgets by 83% since […]
Real-Time Data in Machine Learning: Challenges and Solutions
In today’s dynamic global marketplace, events outside of our control are constantly making the data we’ve collected erroneous and outdated. There are instances in which real-time decision-making isn’t particularly critical (such as demand forecasting, customer segmentation, and multi-touch attribution). In those cases, relying on batch data might be preferable. However, when you need real-time automated […]
Data Preparation and Raw Data in Machine Learning: Why They Matter
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 soon become mainstream in their organization. Data-driven businesses want to reap the benefits of AI implementation, including better customer relationships, more efficient business processes, and valuable marketing data. […]