AI Projects. How do you get genuine returns on investment?
This is a question I’ve been contemplating for the past couple of weeks.
The journey towards reaping benefits from AI projects, particularly decision intelligence platforms, is not straightforward. Incremental gains take precedence over drastic shifts, and the advantages are not strictly limited to material gains. Too often, misdirected focus or impatience with the gradual returns can lead to disappointment.
Success in this realm requires a different approach than other endeavours, valuing progress over immediate results.
8 performance management challenges and how to fix them
Successful performance management can help keep employees engaged, but challenges often arise.
A good performance management program is key for maintaining a happy and engaged workforce, yet performance management challenges frequently arise. HR leaders should learn some of the most common problems so they can take action to address them.
A good performance management program gives employees feedback on a regular basis, allows for employee input and delivers data that can apply to other decisions, such as salary increases. Getting feedback can help reduce employees’ stress and apprehension, which might be higher than normal after the height of the pandemic transitioned into economic uncertainty.
Here are some of the challenges a performance management program can encounter and some possible ways to address them.
The Future Of Computing: Supercloud And Sky Computing
What Are The Key Challenges With Supercloud and Sky Computing?
Cloud computing, multi-cloud, and hybrid-cloud are all terms we’ve become used to hearing. Now we can add “super cloud” and “sky computing” to the list of terminology that describes the computing infrastructure of the coming decade.
Although it’s hard to believe, given how ubiquitous it is today, cloud computing as a practical reality has only been around for the past decade or so. However, at that time, it revolutionized the concept of IT networking and infrastructure.
In the simplest terms, it involves providing computer storage, processing power, and applications via the internet, so users don’t need to worry about buying, installing, and maintaining hardware and software themselves.
Data Observability for Analytics and ML teams
Principles, practices, and examples for ensuring high quality data flows.
Nearly 100% of companies today rely on data to power business opportunities and 76% use data as an integral part of forming a business strategy.
In today’s age of digital business, an increasing number of decisions companies make when it comes to delivering customer experience, building trust, and shaping their business strategy begins with accurate data.
Poor data quality can not only make it difficult for companies to understand what customers want, but it can end up as a guessing game when it doesn’t have to be. Data quality is critical to delivering good customer experiences.
Data observability is a set of principles that can be implemented in tools to ensure data is accurate, up-to-date, and complete. If you’re looking to improve data quality at your organization, here is why data observability may be your answer and how to implement it.
A third of organisations admit to covering up data breaches
Proactive security leaders can look to decrease the chance of deceit by decreasing the burden on human security teams.
In a world where cybercrime is becoming more difficult to prevent, many security leaders are putting pressure on IT professionals to bury the truth.
New research released by cybersecurity vendor Bitdefender today surveyed over 400 IT and security professionals who work in companies with 1,000 or more employees. Bitdefender found that 42% of IT and security professionals surveyed had been told to keep breaches confidential — i.e., to cover them up — when they should have been reported.
Perhaps even more shockingly, 29.9% of respondents admitted to actually keeping a breach confidential instead of reporting it.
This research highlights that an alarming number of organizations are willing to ignore their obligations to report data breaches to regulators and customers, in an attempt to avoid legal and financial penalties.
There’s A Bitcoin Blueprint Hidden Inside Every Mac
How To Find The Bitcoin Whitepaper On Your Mac.
The bizarre discovery was made by developer Andy Baio, who was trying to fix a problem with his printer. He discovered that in the Image Capture utility that’s built into macOS, there’s a folder containing sample documents. One of those is the PDF of the Bitcoin whitepaper written by Satoshi Nakamoto, the Bitcoin inventor whose true identity remains a mystery.
There are a couple of ways to locate the Bitcoin whitepaper. The least technical way is to open Finder and navigate to the following folders:
Macintosh HD > System > Library > Image Capture > Devices.
Artificial intelligence has a problem: a lackluster return on investment (ROI) that affects many companies that deploy the technology.
And while our most recent AI survey found that businesses are beginning to reap AI benefits, the reality is they’re not often seeing a financial return — or worse, not even covering their investments. Compounding the challenge is the fact that many organizations struggle to define ROI for AI in the first place.
What do we mean by ROI for AI?
Most people probably think they know what AI is and does, but it’s a term that encompasses many technologies, processes and functions, so it’s difficult to pin down. It’s definitely not a one-size-fits all field. That can make it challenging to determine a return on investment.
In its simplest form, ROI is a financial ratio of an investment’s gain or loss relative to its cost. In other words, when you invest in AI, the benefits of your investment should outweigh the costs.
THE DIGITAL EYE
I hope these articles are valuable.
I am passionate about technology, and I want to share that passion with you. I believe that it’s essential for everyone to stay up-to-date on the latest trends, so I’ve set out to cover all aspects of the industry – from data analytics to blockchain and AI.
Please let me know if you want to see any other topics covered, and I would appreciate your help sharing this blog with others interested.