As we take a look back to reflect on the state of digital transformation in today’s businesses, we can see several key trends emerging. Growth leaders are separating themselves from growth laggards by using AI and machine learning (ML) in modern application development. Below are some statistics provided by 451 Research: Leaders invest in models … Continue reading AutoAI: Synchronize ModelOps and DevOps to drive digital transformation
$13 trillion USD is a huge sum of money, difficult to comprehend or compare. But over the next 10 years, that figure will equal the total economic impact that AI will add to the global economy, according to models run by McKinsey. In financial services, AI is the future, one observer writes, after evaluating a … Continue reading Managing financial services model risk in an age of big data and AI
The expectation to achieve faster results continues to rise. Businesses everywhere are looking for ways to improve their operational efficiency and effectiveness to enable the best decision-making. The need to optimize typically comes to a head with the reality that there are many silos within any company. These two factors lead business leaders to seek … Continue reading The difference between DataOps and DevOps and other emerging technology practices.
From reading the news headlines of yet another retail chain closing its stores, one can easily be left with the impression that we’re in a retail apocalypse. But in reality, the overall retail industry is very strong and healthy—especially online. What we’re witnessing however, is a transformation of the retail industry that actually started more … Continue reading Winning in retail with IBM Watson Knowledge Catalog
Do you remember when the IBM Deep Blue computer became the first machine to beat the reigning chess champion Garry Kasparov in a six-game match? That was considered AI a couple of decades ago, when scientists viewed chess as a meter stick for AI because it was “a game that required strategy, foresight, logic—all sorts … Continue reading Cloud Pak for Data: The Developer’s journey in a data and AI platform
No matter the location, our customers across the globe face similar challenges on their journey to AI. Their goals are shared—to determine the time and cost to deploy AI, and discover common industry use cases that can apply to them. Most clients don’t have the massive compute power that AI solutions require, and the cost … Continue reading Why Cloud Pak for Data is the right solution for our clients
Artificial intelligence and machine learning (ML) have become very popular recently due to their ability to both optimize processes and provide the deep insights that push enterprises and industries forward. In fact, 68 percent of respondents in a recent 451 Research Report, Accelerating AI with Data Management; Accelerating Data Management with AI noted that they … Continue reading How to overcome the top 3 AI challenges using data management