Written by Steve Singer
Transitional changes in technology are happening at an ever-increasing rate, and the pace is unlikely to slow any time soon.
Just as IT gets a lid on the complexity of its environment, another set of challenges brings yet more layers of complexity, and the battle begins over.
Ransomware attacks have become one of the most severe cybersecurity threats to organizations, with a 500% increase in incidents last year.
Sophisticated dashboard interfaces can deliver insights, but without proper data consultation and planning, they may fail to meet expectations.
Data scientists spend just 12% of their time delivering insights, according to IDC. Silos and admin tasks are to blame.
Many observers fear AI technologies could end up replacing the roles of large numbers of workers, consigning them to the unemployment queue.
Less than one in three (29%) of data operational workers are confident that data within their organisation is always accurate and up to date.
Transforming to a data-driven culture requires participation from all levels of a business, not just the top, says new research.
APIs are revolutionising customer experience by merging data across platforms, allowing businesses to predict and meet consumer needs with precision.
Organisations are facing a complex data landscape, with data from various sources and growing business demands.
AI models and algorithms require clean, high-quality data. Businesses must prioritize data governance to avoid AI failures.
The importance of data quality in real-time AI is often overlooked, but accurate insights are essential for businesses to stay competitive.
A data lake is a large body of raw data held in a natural state where different users can examine it, delve into it, or extract samples from it.
When it comes to technology trends, they don't come much bigger than cloud computing and artificial intelligence.
In the Asia-Pacific region, research company IDC predicts that more than 70% of enterprises will have a multi-cloud strategy by the end of this year.
While GDPR has been a hot topic of conversation recently, but what impact will the laws have on cloud platforms and environments?.
Who will end up paying any additional costs that are levied? Will cloud providers be taxed by the telco operators?.
Steve Singer, Talend ANZ Country Manager talks about the necessities of machine learning for the enterprise space.
The term has been co-opted in recent years to describe the phenomenon of commercial processes which appear to work smoothly and effortlessly.
