Defines, Designs, And Delivers Technology-Enabled Business Solutions
Data Retention Policy And Its Importance To Your Organisation
Branding Authenticity Is Excellent, But It Must Be Supported By A Great Product
These Five Strategies May Help Educators Build A Professional Brand And Improve Their Online Presence
According To A Research, Over 70% Of Organisations’ Apps Are Disconnected From One Other And The Core Business
AI Leaders Need To Know Both The Opportunities And Dangers That Come With Artificial Intelligence And Algorithms
The Risks Of Including Everyone In AI Decisions In Your Organization
If You Feel Your Creative Potential Is Being Overlooked, It’s Time To Rebrand Yourself
Philanthropies: Are We Utilizing Our Resources And Skills To Reach Our Goal And Benefit The Most Marginalized?
Why Use Strong Passwords? Everyone Knows This, But Too Few People Actually Follow It
Instead Of Replacing Them, Businesses Are Merging Mainframe Systems With New Technologies To Expand Their Capabilities
Scared of superintelligent AI? You should be, says neuroscientist and philosopher Sam Harris — and not just in some theoretical way. We’re going to build superhuman machines, says Harris, but we haven’t yet grappled with the problems associated with creating something that may treat us the way we treat ants.
As we enter new frontiers with the latest technology trends and enjoy the many positive impacts and benefits it can have on the way we work, play and live, we must always be mindful and prepare for possible negative impacts and potential misuse of the technology. Here are seven of the most dangerous technology trends:
These and many other new insights are from Gartner Hype Cycle For AI, 2019 published earlier this year and summarized in the recent Gartner blog post, Top Trends on the Gartner Hype Cycle for Artificial Intelligence, 2019. Gartner’s definition of Hype Cycles includes five phases of a technology’s lifecycle and is explained here. Gartner’s latest Hype Cycle for AI reflects the growing popularity of AutoML, intelligent applications, AI platform as a service or AI cloud services as enterprises ramp up their adoption of AI. The Gartner Hype Cycle for AI, 2019.
Not long again, facial recognition software was the next hot thing. But as recently as July, Oakland, California, became the third city to ban its government agencies from using facial recognition technology, following San Francisco, and Sommerville, Massachusetts. Experts expect more cities to follow suit. So, where does that leave the future of the technology?
Especially as marketers trying to leverage facial recognition as a vehicle to improving customer experience. Is there still a way for us to use the technology? How can we tap into the benefits without crossing the line of personal privacy?
Artificial intelligence (AI) is a buzzword that most business owners have already heard of, even if they haven’t researched the technology deeply. AI has the potential to change the face of business in fundamental ways. Because of its innate flexibility, AI presents a wide range of potential applications that almost any business can leverage to make itself more efficient.
There are already companies that have started using AI to make their processes more productive and reduce their costs for both material sourcing and labor. Thirteen experts from Forbes Technology Council take a look at how the smartest business owners of today are employing AI and how it helps those businesses succeed at what they do.
We live in a world run by algorithms, computer programs that make decisions or solve problems for us. In this riveting, funny talk, Kevin Slavin shows how modern algorithms determine stock prices, espionage tactics, even the movies you watch. But, he asks: If we depend on complex algorithms to manage our daily decisions — when do we start to lose control?
Sometimes people get ill because something goes wrong with their body. Very often, the body self-heals by directing regulatory controls to rectify and normalize the thing that is making you feel poorly. This is the body’s autonomic nervous system and its actions are carried out while the human being is largely unconscious of events taking place. When an illness can’t be rectified autonomically, you take medicine, or go to the doctor.
Sometimes, computers go wrong too.
Rather than calling a doctor, we usually call an IT support engineer or attempt to reinstall and ‘patch’ the software code issues causing the performance defect to occur. Increasingly though, through the use of Machine Learning (ML) and an ability to codify best-practice methods for addressing software performance scenarios, we are able to allow software systems to self-heal in much the same way that the body flushes out problems. This is called autonomic computing and it happens while the human being (let’s call them the ‘user’) is largely unconscious of events taking place.
Scientists have noted that even if we were to halt all of our fossil fuel activity today, we are still on track to lose 90% of the ocean’s corals by 2050. Coral is the ocean’s life system and without it, we will soon also have an ocean without life.
In spite of the terrible news, there are some glimmers of light and hope spots that we can point to, especially in the areas of AI for the benefit of the ocean. This will be the first in a series of articles that puts a spotlight on the top innovators and innovations that are using the power of technology, and specifically AI to restore and regenerate our precious oceans.
Data science is a major area of investment for banks due to its proven impact on operations such as fraud protection, risk mitigation, customer relationship management, and more. But while investments in AI are growing, banks are often finding that their existing analytics and business intelligence technology and talent aren’t capable of meeting their current and expanding needs. Challenges in resources, technology infrastructure, and the ability to operationalize models quickly and efficiently can prevent financial institutions from fully leveraging AI and data science to drive business impact.
These challenges, paired with the need to remain competitive in a quickly evolving market, compelled the Sumitomo Mitsui Banking Corporation (SMBC) to seek out innovative solutions to help it maximize its AI and machine learning (ML) investments.
AI is massively transforming our world, but there’s one thing it cannot do: love. In a visionary talk, computer scientist Kai-Fu Lee details how the US and China are driving a deep learning revolution — and shares a blueprint for how humans can thrive in the age of AI by harnessing compassion and creativity. “AI is serendipity,” Lee says. “It is here to liberate us from routine jobs, and it is here to remind us what it is that makes us human.”
The remarkable thing about Stitch Fix, though, isn’t its business model, which blends digital with a healthy bit of reality. It’s the company’s use of algorithms across essentially every single facet of the company. When it comes to data, Stitch Fix is doing it well, and there are a lot of things all companies—not just retail—can learn from it. The following are just a few of my favorite takeaways.
Each year, I take a look at the major digital transformation trends hitting every industry. Next up are the big digital transformation trends in retail for 2020.
Before getting into this year’s trends, I want to go over some of the hits and misses we chose for 2019. While we did see major and necessary improvements in omni-channel retail and AI/cognitive computing, I’d say we still have some work to do with cardless checkout and smart beacons. Yes, those technologies are still percolating and will likely continue to mature in the coming year. But for 2020, I see some more significant trends moving the industry forward.
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