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The advent of AI and machine learning comes at a time of rapid technological innovation and change. For regulators and governments, it presents a challenge that has increased in scope and will continue to do so over the next several years and beyond. How do we effectively regulate something, AI in this case, which is constantly changing? I’d say the same way – through being adaptable and one step ahead of the future.
The financial services domain is experiencing a remarkable transformation, prompted by disruptive newcomers and the rise of Open Finance. These modern players, predominantly digital-only banking entities, are not merely passively accepting the tide of digital transition, but are actively molding it, setting a groundwork for an increasingly open, inclusive, and technologically oriented financial environment.
Improvements in the customer experience through the use of AI has for a number of years been seen as the next frontier that can help companies streamline processes, personalize marketing, make customer recommendations and help maximize the value of their brand. However, across industries, many have often struggled to secure the deep customer engagement benefits that AI has promised. At the same time, customer confidence in self-service channels for transactional activities is increasing, leading them to expect similar outcomes in the way they work with brands and organizations.
Operations was unloved. In the world of software application development and enterprise technology management, no system runs reliably without a solid engineering support function and service layer - in most cases we call that entity the operations team.
The shift in computing infrastructure from the cloud to the edge has led to explosive growth and transformation in the retail industry. And it’s a trend set to increase. The global smart retail market size was valued at USD 30.25 billion in 2022and is expected to grow at a compound annual growth rate (CAGR) of 29.1% from 2023 to 2030. IDC predicts that by 2024, the number of apps at the edge will increase by 800%.
Implementing generative AI in digital experiences isn’t easy. Organizations should take into consideration various factors, including training models and the potential for unconscious bias, hyperautomation, security risks, technical considerations for implementation, and scalability and performance. In this article, we’ll take a closer look at each of these and discuss how organizations can manage them to fully leverage generative AI to create more compelling customer experiences.
The modern world relies on applications: every business, regardless of industry, depends on them to varying degrees. Whether you operate a hospital, an e-commerce business, a farm or a factory, applications play a central role in day-to-day operations. Even a few minutes of application downtime can have disastrous consequences.
Not in Las Vegas, not in Barcelona, not in San Francisco, Paris, London or Munich, this year the Computer Weekly Developer Network team is headed to Sofia, Bulgaria for Progress DevReach 2023.
The emergence of disruptive newcomers in the financial services industry has marked an era where targeted digital offerings are no longer seen as part of a short-lived trend. With the rise of online-only banks and open finance, customers now expect digital financial services.
Shortcomings in artificial intelligence (AI) technology are rising to the forefront with growing attention on a slew of AI topics like ChatGPT and deep fakes. As everything continues to move digital, many are looking to bring these tools into their everyday lives. From a business perspective, looking to train their AI on proprietary data, it requires that their AI have direction, commitment, and oversight for an organization to make the most of the technology. Without it, unmonitored AI trained on flawed data will begin to reflect human biases in day-to-day operations.
Whether you’re a small startup or an established enterprise, integrating AI tips and tools into your business strategy can revolutionize the way you operate, streamline processes, enhance customer experiences, and boost overall efficiency.
In this week’s edition of Let’s Talk, our experts discuss AI tips and tools that are poised to take your business to new heights, unleashing its full potential and paving the way for success in the modern business landscape.
Not too long ago, the idea of Artificial Intelligence (AI) existed only in the realms of science fiction, capturing our imaginations with fantastical visions of a distant future. Yet, today, that once far-off dream has become a tangible reality, as AI has broken free from the confines of fiction to revolutionize industries on a global scale. Fueled by a relentless pursuit of innovation, this modern technological marvel has initiated a transformative wave across various sectors, fundamentally reshaping how businesses operate.
On this episode of Just One Q, Dominique chats with guest Dr. Shirley Knowles, Chief Inclusion and Diversity Officer at Progress, a customer-centric tech company based in Massachusetts. They discuss the importance of maintaining DEI commitments despite the recent changes to Affirmative Action in the U.S. and some simple, actionable tips for DEI practitioners facing resistance.
Automation accelerates us. In all its forms (inside the software universe and generally in the real world), the ability to use automation techniques enables us to circumvent chores and drudgery, create repeatable predictable functions and make things move faster.
Artificial intelligence is generally only as good as the data that it's trained on. However, when data is collected and used in the training of machine learning models, the models inherit the bias of the people building them, producing unexpected and potentially harmful outcomes.
We spoke to Matthieu Jonglez, VP, technology at Progress, to discuss the company's recent research around this topic and what organizations can do to reduce bias.
In 2014, July 15 was declared World Youth Skills Day to encourage youth employment and equip young people with industry-relevant skills. The theme for World Youth Skills Day 2023 is ‘Skilling Teachers, Trainers and Youth for a Transformative Future.’
AI Appreciation Day is a time to celebrate the many ways that artificial intelligence is making our lives better. In the field of security, AI is being used to detect and prevent cyberattacks, to improve threat intelligence, and to automate security tasks.
In this article, we'll take a look at how industry experts are using AI to improve security and where things appear to be headed down the road. We'll also explore some of the challenges that still need to be addressed before AI can be fully deployed in a security context.
Data bias in artificial intelligence (AI) is a critical issue that warrants our attention. It refers to the presence of errors or distortions in data that can lead to unfair decisions that perpetuate discrimination and inequity.
Progress announced the release of Progress® WhatsUp Gold® 2023.0, its award-winning IT infrastructure monitoring software.