We hope that the first two articles of our AutoML series would have given you a good idea about AutoML, its workflow, pros and cons and the way it add value to a business’s deployment of AI technology and business model. This article will take you through the same in terms of practical use cases …
According to Forrester’s recent research, 61 percent of data and analytics business decision makers who deployed AI, stated that they had either implemented or are in process of implementing AutoML software. This is because AutoML has the potential to up-scale the AI at any business. When machine learning algorithms are automated, the results are more …
Before fully embracing data mesh for your organization, take note of a few key considerations. In this article, we’ll discuss the things you should take into account, as well as share real-life examples of companies that are leveraging the capabilities of data mesh. Four Key Considerations Prior to Implementing Data Mesh Within Your Organization 1. …
Data Mesh Primer – Part 3: Key Considerations Before Implementation Read More »
Traditional AI solutions are built on models that learn how to handle data in a certain way for real-world applications. Models generally consist of a training channel for collecting and grouping data and a prediction channel that establishes patterns as it analyzes these data. However, these models are fixed or static, so they either become …
Artificial intelligence is steering the fintech industry towards a future of efficient financial management and real-time data analysis. AI is constantly evolving as we speak and come 2030, AI technology will cut down banks’ operational costs by 22%. As society breaks through with technological advancement and computing solutions, the financial sector is set to witness …
How AI Is Reinventing the Finance and Banking Experience Read More »
The global lockdown in 2020 ushered in a new era for banking. Contactless payments, mobile banking, and virtual banks are driven by the innovations of artificial intelligence (AI) for fintech. AI in banking welcomes next-level customer support and process automation while boosting overall growth. 80% of financial institutions report being aware of the potential of …
The recent global Azure outages are once again bringing the need for a multi-cloud failover in contention. Aside from the recent Azure Windows VM outage, multiple outages have had global network impact in the past couple of years. Many regulators and service providers are all the more resolute on the need to have multi-cloud failover …
With the exponential rise in digital consumerism and hybrid work models, businesses are doubling their efforts to advance their digital initiatives, an integral part of which is cloud migration. Even small enterprises are looking for cloud solutions to modernize their systems and adapt to evolving consumer behavior. In fact, forecasts by Gartner estimate that spending …
A Checklist for Migrating Your On-Premises Data to the Cloud Read More »
Digital advancements have largely shaped the way companies create and implement their respective business strategies. As CIOs and IT leaders, you have the capability to adopt and implement an innovative digital transformation. But, it can be challenging to capitalize on these advancements and build an effective digital strategy that can continuously evolve and adapt to …
What It Takes to Build a More Effective Digital Strategy for Your Company Read More »
Event stream processing helps users study multiple never-ending event streams simultaneously to detect patterns or inspect results. These event streams may contain data about social media posts, emails, bank deposits, customer orders, or sensor data from vehicles, weather, or mobile devices. Unlike batch processing that requires data to first build up before being processed, stream …
Leverage Your Event Streams Monitoring with Kafka Read More »
