In this contributed article, Tom Cheli, CEO of Frequence, discusses the current applications of AI and its future potential. The article points out the three ways that AI is already being used in current applications such as ad targeting, weather forecasting, and fraud detection, as well as the future of AI in areas such as chatbots, healthcare, and movie production. It concludes that AI has the potential to revolutionize our world in profound ways and shows that despite skepticism, the current AI revolution is underway.
Be Wary of Bias: Avoiding Data Bias in Artificial Intelligence
In this contributed article, Philip Miller, a Customer Success Manager for Progress, discusses the emergence of data bias in AI and what steps business leaders and IT teams can take to avoid it. Specifically, Philip discusses the ways in which data bias arises due to lackluster datasets and how human oversight paired with proper data entry can better improve your AI performance.
Marie Kondo, Zen and the Art of Enterprise Software – and Why You Need to Care
In this contributed article, Joe McCunney, CEO & President, Scalar Labs, suggests that in its simplest terms, a Zen practice is the living embodiment of the phrase, “Less is more.” This article explains how embracing Zen principles – including concepts from master organizer Marie Kondo – and supportive tools can provide a consistent, simplified data management and validation framework in place.
Financial Institutions are Strengthening Business Intelligence Reporting and Data Warehousing through Workload Automation and Orchestration
In this contributed article, Ryan Dimick, Chief Technology Officer at SMA Technologies, discusses how financial institutions like banks and credit unions are some of the most data-rich organizations in the world. With access to members’ spending habits – from direct deposits and cash inflows to expenditures like mortgages and payments for bills – there’s a treasure trove of data. So, why are some banks and credit unions often disconnected and unable to understand their customers or members?
Tackling Data Distribution Shift
In this contributed article, Michael Rinehart, VP of Artificial Intelligence at Securiti.ai, believes that data-driven machine-learned algorithms can be essential to accuracy in important situations, but also for routine frontline work allowing companies to produce real-time insights that can help predict and improve performance. As AI systems continue to become more prevalent in decision making, it is increasingly important for companies to understand both their limitations and the strategies to mitigate those limitations so that they can be effectively leveraged for sustained growth.
A New Era of CX: How Phygital is Changing the Game
In this contributed article, Rebecca Jones, general manager of Mosaicx, delves into the evolution of customer experience (CX) and the emergence of phygital experiences. She explores the pivotal role played by AI in this shift, highlights potential pitfalls, and discusses key considerations for brands as they develop their phygital CX strategies.
The Rise of Intelligent Apps in Finance
In this contributed article, Rohit Gupta, CEO and Founder, Auditoria.AI, discusses how the future of finance hinges delicately on the ability to adapt. Unfortunately, the finance department is often the last stop on the progress tour – and sometimes overlooked altogether. Optical Character Recognition (OCR) and Robotic Process Automation (RPA) are two of the most common automation tools in corporate finance today. While both tools serve a specific purpose – RPA is programmed to execute high-volume, repeatable tasks, and OCR helps extract structured data in an automated fashion – as standalone solutions, they no longer pull their weight.
Three Ways to Identify NLP Applications within a Business
In this contributed article, Domenic Puzio, Senior Machine Learning Engineer on the NLP Team at Kensho Technologies, discusses NLP, the branch of machine learning (ML) that focuses on training computers to understand written language, a skill that comes naturally to humans and has historically been very difficult for machines. This article examines a few ways to identify when NLP can be used to make these natural language workflows faster and more efficient.
Addressing the Challenges of Real-Time Data Sharing in IoT
In this contributed article, Jeff Tao, Founder, CEO, and Core Developer of TDengine, discusses how the Internet of Things (IoT) has revolutionized how we live, work and share information.
While IoT has made accessing data easier, real-time data sharing – which requires seamless and
secure data transfer from connected devices in real-time – comes with its own challenges and concerns. But how can organizations address them?
Money Laundering Finally Meets Its Match – Federated Learning Will Change the Game
In this contributed article, Laurence Hamilton, Chief Commercical Officer, Consilient, discusses the next generation federated learning solution for financial crime detection. Such a solution will help enable banks and other financial institutions to detect high-risk entities and behaviors by sharing insights across different data environments and organizations.