Financial institutions and their service providers have traditionally owned and run their technology infrastructure on their own premises or in their own data centres. However, that’s changing with the advent of powerful public cloud services, such as Amazon Web Services, Google Cloud and Microsoft Azure.
With the rise and advancement of technology and artificial intelligence, there is no question that new rationalists are joining this group to enforce their ideas. However, most Rationalists and highly successful people do not hold back anything, and maybe this is because the technological and financial industry embraces disruptors of the norm. One rationalist concept adopted by the technology and financial sector is Fintech.
For decades, the development and operations teams within companies were siloed. Developers created the software. Operations tested and deployed it. But in 2009, IT consultant Patrick Debois coined the term “DevOps,” a merging of development and operations to improve communications, establish best practices and create feedback loops for organizations to keep improving the overall process.
One of the questions I get asked a lot by customers, prospects, and partners is, “Will AIOps make them irrelevant?” To them, AIOps is often equivalent to automated remediation; an AIOps system automatically detects an incident and kicks off a remediation process in response to this incident, knowing exactly what process will solve the problem. IT is out of the loop, data centers and NOCs just keep humming along unattended, end users are none the wiser.
How do you determine whether one multifamily deal is better than another? Let me start by saying that a deal is only as good as the assumptions you’re making as an investor, and assumptions are not guaranteed to materialize. As a real estate investor, operator and syndicator through my company Blue Lake Capital, a significant part of our analysis when considering properties to invest in is looking at how the property performed in the past.
Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Many ML libraries and online services don’t even require a thorough knowledge of machine learning. However, even easy-to-use machine learning systems come with their own challenges. Among them is the threat of adversarial attacks, which has become one of the important concerns of ML applications.
IT teams are under immense pressure to work faster than ever and deliver better results—at less cost. And they’re struggling to do it all as their organizations take in rapidly soaring volumes of data that must be captured, analyzed and deployed to improve business outcomes.
Remote work poses new demands for hybrid cloud security. Here’s how organizations can protect themselves from security threats in this complex landscape.With employees continuing to work from home to meet the social distancing requirements of COVID-19, more people are juggling business with personal engagements, at times outside normal business hours. Often, they’re using their mobile business laptop, as well as a plethora of additional wireless mobile devices.
Queen Elizabeth II received a blockchain journal in the post, and was “interested to learn that the publication is the first open access blockchain research journal available both in print and online, according to a letter from her office. In a letter to the British Blockchain Association, which sent the journal, a member of her office said the queen “much appreciated thoughtful gesture,” as first reported by the Financial Times.
As companies undergo digital transformation, they are becoming more effective, efficient and productive and are delivering an improved user experience. “Digital transformation creates a roadmap for the evolution of innovation inside a business,” says Jay Srage, managing director of Dubai-based Centrigent, a partner of Pittsburgh’s Milhem DTL, led by Ray Milhem.
