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    1Aug, 2023
    Top 10 AI Reads in 2023
    • Artificial Intelligence (AI) has become increasingly vital today in transforming industries and shaping our lives.
    • To expand on this, we have listed some excellent reading material on the applications and importance of artificial intelligence.
    • Check out our top ten reading picks for AI operations for 2023. These resources will help you and your business gain an edge in AI applications.

    AI-powered technologies enhance efficiency, productivity, and accuracy across various sectors, including healthcare, finance, manufacturing, transportation, and communication. It enables advancements in medical diagnoses, drug discovery, personalized treatments, optimized financial transactions, risk assessments, and fraud detection, fostering economic growth and stability.

    As AI evolves, its significance will only grow, offering immense innovation and problem-solving potential and creating a more sustainable and prosperous future.

    Here are our top ten articles on AI operations you should read in 2023 to give your business an edge in AI applications.

    Top 10 Articles on AI

    1. How To Streamline the Offboarding Process With AI

    This article discusses how artificial intelligence can help organizations improve the process of offboarding employees.

    Conventional methods are largely impersonal and lack any form of compassion. However, the article emphasizes how AI can be used for a cohesive and uniform experience, leaving employees with a positive impression and reducing HR workload, which helps the organization with its reputation.

    2. AI: The Gamechanger for Modern-Day Organizations

    The author of this article talks about how conventional organizations relied on various aspects of human intelligence, including language, speech recognition, and visual perception, in addition to the decision-making process.

    The article then focuses on the changes modern businesses have undergone by gradually incorporating AI in their operations and how this helps with things like customer experience, design innovations, and operational challenges.

    3. How To Integrate AI With HR for Better Decision-Making

    As AI gains a larger role in operations, HR departments, too, have adopted AI on a broader scale. The article discusses how including AI improves accuracy, objectivity, and efficiency for human resource leaders.

    The author talks about how organizations can strike a balance between human intelligence and automation in the decision-making process, even while maintaining human-centric approaches.

    See More: Has OpenAI Lost Its Charm?

    4. AI: The Catalyst for Innovation in the Insurance Industry

    This article talks about the role of AI in the insurance industry. According to the author, AI will likely drive significant profitability and productivity improvements.

    The article goes on about how AI supports better underwriting decisions and helps create new products. It also discusses using AI-based predictive analytics to help the industry remain competitive and future-proof.

    5. The Role of AI in Shaping HR Strategies and Talent Development

    The author of this article talks about how recent improvements in the accessibility and application of artificial intelligence tools have bolstered adoption in HR departments. It discusses how HR executives increasingly use AI for operations, including payroll, candidate screening, compliance monitoring, onboarding employees, and more. It also discusses how HR can leverage AI to meet its objectives in a modern competitive business environment.

    6. How Will Generative AI Transform Contact Centers

    In this article, the author discusses how contact centers have taken to generative AI technologies and what benefits organizations derive from these changes. The article talks about how AI has changed how agents interact with customers and about the role of generative AI in solving common issues for contact centers, including case swarming, growing citizen users, and the lack of optimized analytics.

    See More: How ChatGPT Could Spread Disinformation Via Fake Reviews

    7. 4 Ways Generative AI Is Simplifying Influencer Marketing

    In another article discussing the importance of generative AI, the author talks about how influencer marketing professionals find generative AI tools important to operations.

    The article also discusses the role of generative AI in creating optimized text and image content, supporting audience engagement, and building brand consciousness and loyalty.

    8. The Silent Revolution of Software Testing: AI’s Role in Faster QA

    This article discusses artificial intelligence’s growing use and effectiveness in the DevOps process, including the software development life cycle. The author discusses how AI can optimize the quality assurance process through adequate testing, minimizing resource wastage with the help of tooling such as Predictive Test Selection. It also talks about data-driven pipelines and the potential of AI to minimize costs associated with hardware, test execution and builds.

    9. How AI Will Affect Developer Workflows

    This article sheds further light on the use of generative AI in software development life cycles. While there has been an underlying fear of AI replacing the human workforce, the article talks about how AI will change development workflows and benefit software developers going forward, including advantages in productivity, security, and low-code/no-code development.

    10. How AI Will Shine a Light on Dark Data

    This article discusses the use of AI to optimize dark data — data acquired from various sources but not conventionally used for decision-making. The influx of generative AI tech has brought to light the perils of using data that may not be legitimate. The article discusses the problem in-depth and discusses potential solutions and the way forward for businesses increasingly reliant on such tools.

    Resource : https://www.spiceworks.com/tech/artificial-intelligence/articles/10-articles-on-artificial-intelligence-you-should-read-in-2023/

    1Aug, 2023
    The Future Internet I Want for Me, Myself and AI

    Artificial Intelligence has the potential to bring immense opportunities, but it also poses challenges.

    Artificial intelligence (AI) is dominating the R&D agenda of the leading Internet industry. The Silicon Valley and other startup hubs are buzzing about artificial intelligence and the issue has come at the top of policymakers’ agenda including the G20, the ITU, and the OECD, where leaders gathered this week in Paris.

    AI isn’t new, but its recent acceleration can be explained by its convergence with big data and IoT, and the endless applications and services it allows. In the market, this translates into investments across all industries as stakeholders try to understand the potential of AI for their own businesses. For instance, at the beginning of the year, Ford motors announced a plan to invest $1 billion over the next five years in Argo AI, an artificial intelligence startup that is focused on developing autonomous vehicle technology. It’s an indication that AI is a hot topic beyond the traditional ICT sector.

    How our community feels about AI

    There is a growing expectation on the part of many stakeholders that AI and machine learning will fundamentally reshape the future of the Internet and society around it.

    This is one of the trends we’ve observed in our own project about the Internet’s Future, where AI, together with five other areas, have been identified as key “Drivers” of change in the coming 5 to 10 years. There is a sense that “we may be experiencing a new [technology] Renaissance.” Indeed, in 10 years’ time AI technologies may dominate all aspects of our day to day lives from driving to banking or even working.

    Yet, the uncertainties raised by our community about this technology in the context of the Internet are extensive. These include the potential loss of human agency and decision-making, lack of transparency in how algorithms make decisions, discrimination, the pace of technological change outstripping governance and policy, and ethical considerations.

    A number of participants raised concerns related to the impact on industry and employment – and therefore society – noting the consequences of automation-led change across industries and business practices, and the possible increase in inequalities and societal disruption.

    Will AI replace human labour?

    The discussions at the OECD this week revolved around a specific issue: Will AI replace human labour?

    What do humans do at work? They perceive their environment, learn, use language to communicate, plan and navigate tasks – all of them abilities that can be imitated to varying degrees by machines.

    Looking back at the history of AI, the concept was born when a group of visionary researchers, including Marvin Minsky and John McCarthy, gathered in the summer of 1956 at Dartmouth College to kick off the project to create computers programmed to act as humans. The risk – or opportunity – was embedded, although perhaps not consciously, in the group’s objectives: replicating human intelligence.

    So, is it realistic that we could all be replaced by robots and algorithms?

    It depends who you ask and how you analyse the challenge. So far the estimated impact on job displacement has had a broad range: from 9-47%. From the OECD to the University of Oxford, the measuring techniques are quite different. The numbers are alarming and should be taken seriously, but they also do not tell the whole story.

    Shaping a future we can look forward to

    Fears are natural, but should be put into perspective. Lets think about how AI could improve human performance and lives.

    Deep learning has made tremendous progress in reasoning to the benefit of humans. See the example of the Go Game guru, Lee Sedol, who was defeated by “Alpha Go.” He explained that beyond personal disappointment, he also experienced a positive feedback loop. He learned from AI Go patterns and techniques and raised his own performance level. AI performing at the level, or higher, than humans is not necessarily a threat – it can augment intelligence and support our own development.

    AI can have also have a positive effect on humanity, notably by drawing inferences from enormous sets of data. For example, in the pharmaceutical field, the combination of AI and big data expands the industry’s ability to solve new scales of problems, which in turn enables the acceleration of research and can bring major breakthroughs in drug discoveries and disease diagnoses.

    Energy efficient homes, personal assistants that make our lives easier, etc. There are many other reasons and fields where hope – and even excitement – is possible.

    But what we do know is that Artificial Intelligence is already a topic that has triggered hopes and concerns. Going forward it is important that we broaden and demystify the debate in order to balance the headlines with insights and facts. To this end, ISOC recently published a Policy Paper on Artificial Intelligence and Machine Learning, introducing the fundamentals of the technology at hand and some of the key challenges it presents.

    As one of our guiding principles from this paper clearly states: “The public’s ability to understand AI-enabled services, and how they work, is key to ensuring trust in the technology.”

    Resource : https://www.internetsociety.org/blog/2017/06/the-future-internet-i-want-for-me-myself-and-ai/