The appraisal cycle is almost upon us. Unfortunately, the timing doesn’t seem right. Major layoffs and hiring freezes. have been announced by several large companies as a result of the economic downturn and over-hiring. Several companies have stopped or delayed appraisals, while others continue to conduct them. Despite the recession, many companies are still doing well. Amidst the layoff season, startups and SMBs are still hiring and opening more jobs.

So, did you invest in RPA? Did you buy into the dream of automation? How's it going? Are your bots running at 100% reliability and delivering amazing ROI? Or are you fighting bot breakdowns and struggling to justify the expense of costly RPA bots with poor reliability?

Recently I read a very informative article by Stephen Catanzano in Tech Target (Avoid data sprawl with a single source of truth). To be honest, this is an age-old challenge, and it's getting worse. IDC states that by 2025 the global datasphere will grow to 175 Zeta bytes and that 90% of the data in the world is a replica. Why does this matter? As Stephen points out in his article, a single source of truth is a fundamental concept in data management.

The data catalog is a critical step in the movement toward becoming a data-driven business. Here are 4 table-stakes questions to ask yourself to deliver reliable, trusted data.

When was the last time you had all the data you needed to make a business decision? Hopefully, it was today. But if it wasn’t, you’re not alone. It’s increasingly difficult for people inside enterprise organizations to harness the power of their data. Even though good decisions are nearly impossible without good data, getting data into the right hands at the right time is easier said than done.

E-commerce businesses lose 35% of their revenue due to poor user experience, according to Amazon Web Services, or about $1.4 trillion annually. On the other hand, UX Planet found that every dollar spent on improving UX/UI will return $10 to $100 – especially for software-as-a-service (SaaS) businesses with sticky business models. Let's examine why customer experience matters and how you can leverage functional and visual testing to eliminate errors.

This blog is a follow-up to our earlier discussion of multibranch pipelines and how they can help streamline software development processes. There we explored the benefits of managing pipelines in the same repository as code and how that gives developers the ability to version their pipelines alongside their code, ensuring they remain in sync.

The days of waterfall and siloed teams are gone. QA now works alongside development to release products faster and find bugs sooner. Agile transformations changed how companies work, bringing development and testing together and prioritizing quality. However, the current market and consumers demand higher levels of quality and faster releases. Companies can’t afford bugs, vulnerabilities, or critical issues. Quality is no longer a vision - it’s a necessity.

When I was working at Google back in the mid 2000’s, we dealt with tens of billions of ad impressions a day, trained several machine learning models on years worth of historic data, and used frequently-updated models in ranking ads. The whole system was an amazing feat of engineering and there was no system out there that was even close to handling this much data. It took us years and hundreds of engineers to make this happen, today, the same scale can be achieved in any enterprise.

Jasper is an automated content generation platform that uses AI technology to produce unique, human-like content for your website or social media campaigns. It’s one of the most popular tools for writing copies. Hundreds of people have used this tool and are pretty happy with it. The primary purpose of this software is to make your content better.