Collaborating Authors


Can AI step up to offer help where humans cannot?


Eileen Yu began covering the IT industry when Asynchronous Transfer Mode was still hip and e-commerce was the new buzzword. Currently an independent business technology journalist and content specialist based in Singapore, she has over 20 years of industry experience with various publications including ZDNet, IDG, and Singapore Press Holdings. If applied inappropriately, artificial intelligence (AI) can bring more harm than good. But, it can offer a much-needed helping hand when humans are unable to find comfort from their own kind. AI hasn't always gotten a good rep.

5 AI adoption mistakes to avoid


Artificial intelligence (AI) and machine learning can be invaluable assets to business success. By implementing AI, businesses can automate hours' worth of manual labor sifting through data to enable smarter and faster business decisions. However, automation and AI do not remove the need for human responsibility. It's important to follow best practices to ensure AI helps versus hurts your business. Here are five mistakes to avoid in leveraging AI to meet company goals.

Why AI: Consumers Approve Its Use For Personalization And CX


Consumers accept the role of AI in marketing communications -- up to a point. Overall, 37% like AI and find it helpful, although that number rises to 58% among people who use AI tools at work or school, according to Getting Personal: Consumer Perspectives on AI in Marketing and Customer Service, a study released Tuesday by But only 28% of those who do not work with AI say it's useful. In general, 43% feel it depends on the company. Among all respondents, 23% say AI has a negative impact on the customer experience, while 39% believe it is positive and 38% are neutral. Any negativity expressed may be due to privacy concerns.

Despite efforts, businesses struggle with accessibility

MIT Technology Review

Some reasons why that's the case are tied to the sheer volume of digital content and the complexity of the internet. For businesses and content creators who want to reach the widest audiences possible and meet the expectations of all users, including those with disabilities, the dynamic nature of content poses an ongoing challenge. Consumers today expect personalized content, interactive features, and intuitive interfaces to find information, shop, get entertainment, etc. This level of personalization requires continuous changes in content based on user behavior, preferences, and other data. Unfortunately, every change comes with a risk of making content inaccessible for users with disabilities.

Cloudera Releases "Unlimited: The Positive Power of AI" Market Research Report - Actu IA


Enterprise data cloud company Cloudera's new study, "Limitless: The Positive Power of AI," released in March, is based on two online surveys conducted by Sapio Research in August 2021. For the first, 10,880 knowledge workers working in companies with 1,000 employees were surveyed in 16 countries including France (1,000 respondents), and for the second 2,213 business decision-makers, in the same countries and organization profile (150 French respondents). The study examines their changing attitudes towards AI, machine learning (ML) and data analytics. The research results show that workers are not afraid of AI replacing them. An explosion in the amount of data now available to companies has made AI/ML a common thread in many jobs and a powerful ally.

Nicolas Babin disruptive week about Artificial Intelligence - April 4th 2022 - Babin Business Consulting


I am regularly asked to summarize my many posts. I thought it would be a good idea to publish on this blog, every Monday, some of the most relevant articles that I have already shared with you on my social networks. Today I will share some of the most relevant articles about Artificial Intelligence and in what form you can find it in today's life. I will also comment on the articles. Artificial Intuition is the Next Phase of Artificial Intelligence.

Artificial Intelligence: A Technology Bridging the Education Gap


The Indian education system has started reaping the benefits of advanced technology, artificial intelligence, to improve multiple weak sectors in 2022 such as determining the rate of school dropouts, using personalized education through apps, and the estimated number of people using AI education apps, and different kinds of AI apps. Thus, it is highly beneficial to keep a count on different aspects to provide better education and the future to Indian students efficiently and effectively. According to the Analytics Insight survey, 46% of the respondents thought that AI can determine school dropout rates in India while 24.4% did not consider it a viable option. Meanwhile, only 29.3% were in a neutral state by stating that maybe AI can do this function efficiently. Out of 241 respondents, 65.9% considered that artificial intelligence can increase the effectiveness of personalized education while 31.7%

The Future of Indian Education with Artificial Intelligence


The idea that artificial intelligence might replace teachers might sound quite appealing. Keeping in view, the recent technological advancements based on artificial intelligence, it is quite evident that AI will continue to remain and might even become more influential in the education domain. The edtech space has included AI-powered solutions, encouraging other universities and schools to adopt a tech-driven front when it comes to imparting education. AI has become a new tool in a teacher's toolbox that assists them in carrying out administrative tasks and lets them focus on what they do best, which is, helping students grow. In this case, we asked our respondents if they think AI will replace teachers in the future or not.

AI governance adoption is leveling off – what it means for enterprises


We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - August 3. Join AI and data leaders for insightful talks and exciting networking opportunities. Despite the need to maintain the integrity and security of data in enterprise artificial intelligence (AI) systems, an alarming number of organizations lack proper AI governance policies and tools to protect themselves from potential legal issues, O'Reilly Media researchers report. The Boston-based publisher and researcher today announced the results of its annual "AI Adoption in the Enterprise" survey. The benchmark report explores trends in how AI is being implemented, including the techniques, tools and practices organizations are using, in order to better understand the outcomes of enterprise adoption over the past year. Among respondents with AI products in production, the number of those whose organizations had a governance plan in place to oversee how projects are created, measured and observed was roughly the same as those that didn't (49% yes, 51% no).

Many Americans distrust emerging technology, new study finds


For more than a century, popular science fiction has promised us a future filled with robotics and AI technologies. In 2022, many of those dreams are being realized -- computers recognize us on sight and cars can drive themselves, we're building intelligent exoskeletons that multiply our strength and implanting computers in our skulls to augment our intelligence -- but that doesn't mean most of America trusts these breakthrough technologies any further than they can throw them. A recently published survey from Pew Research sought the opinions of some 10,260 US adults in November 2021 regarding their views on six technologies emerging in the fields of robotics and artificial intelligence/machine learning. Specifically, canvassers asked about both more mainstream systems like the use of facial recognition technology by police, the fake news-flagging algorithms used by social media platforms, and autonomous vehicle technology, as well as more cutting-edge ideas like brain-computer interfaces, gene editing and powered exoskeletons. The responses largely topped out at tepid, with minorities of respondents having even heard much about a given technology and even fewer willing to become early adopters once these systems are available to the general public.