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AI Project Management: 6 Techniques That Differ from Traditional Methods
According to Gartner, only 54% of AI projects make it from pilot to production. Indeed, many AI projects fail but the technology is not necessarily to blame. Instead of looking for the problem in complex algorithms and large datasets, project leaders must focus on how they manage such projects The success of AI initiatives largely…
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The Power of Task Conflict: A Leader’s Guide on How to Build High-Performance Teams Through Constructive Disagreement
This story goes back to a few decades ago when Fred Gluck, a newcomer at McKinsey & Company, first encountered Marvin Bower, a life-long leader of McKinsey. When Bower asked Gluck about his first assignment, Gluck honestly told Bower he thought the partners were doing it all wrong. The next morning Bower called Gluck to…
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How to Integrate AI Into an App: A Practical Guide and Essential Considerations
Around 42% of enterprise-scale organizations actively use AI in their businesses, while 59% plan to increase investment in the technology, as stated by the IBM Global Index. AI integration is a complex project and this is the reason why many companies are hesitating to implement the technology. We’ve already written about the best strategy to…
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How to Implement Generative AI: From Taking to Making
You can integrate generative AI in two ways: by taking an existing AI model or by building your own one. Creating your own AI model from scratch is time-consuming, costly, and not always necessary. We suggest using an existing gen AI model and adjusting it to fit your business needs. This way, you’ll not only…
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The Best Generative AI Use Cases Across Various Industries
McKinsey’s study on 63 AI applications across 16 business areas reveals that AI can generate from $2.6 trillion to $4.4 trillion in value across different sectors. Notably, the banking sector alone could see an annual increase of $200 billion to $340 billion, representing one of the largest growths among the industries surveyed. One of the…
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How to Choose an AML/KYC Service Provider: A Complete Guide and Overview of Available Options
For businesses, especially those operating in the financial sector such as banks, credit providers, e-money institutions, and payment processing companies, it’s crucial to implement robust AML and KYC policies. By accurately identifying their customers, analyzing their financial activities, and keeping an eye on their transactions, companies not only enhance security and trustworthiness but also contribute…
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6 Essential Data Security Practices for Your Software Development Process
In January 2023, the U.K. Royal Mail got hit by ransomware, forcing the company to stop sending letters and parcels overseas. Although initiated by a phishing attack, this incident could have been avoided if the company had implemented robust authentication measures across all its services. But instead, they had legacy systems in place – and…
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Unlocking Data Potential: Best Practices for Effective Enterprise Data Management
According to a report, the global enterprise data management (EDM) market size is forecasted to reach $281.9 billion in 2033, a substantial increase from $97.5 billion in 2023. It indicates the shift toward increased investment in EDM technologies by businesses working to optimize their data assets. At the same time, the growth of global data…
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Generative AI in Healthcare and Strategies for Swift Adoption
AI is making its way into various industries, including healthcare. It can make administrative tasks in healthcare easier and faster and even spot diseases early, improving diagnosis and helping save lives. For example, ChatGPT helped diagnose a rare disease – a task where 17 doctors failed. However, just like Electronic Health Records (EHR) took years to be…
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Data Management: 10 Real-World Problems and How to Solve Them
Data has become the main asset for any business, driving every essential decision and process. Each day, companies operate gigabytes of data and its amount is increasing faster than we can imagine, making data management a challenging task. Security concerns, integration issues, data inaccuracy, and lack of centralized processes – all of it can ruin…