The Obstacles to Implementing AI – and How to Overcome Them
The larger the company, the more barriers it faces when implementing new tech solutions. However, forward-thinking organizations know that standing still means falling backwards. Medium and large businesses can adapt to demanding changes with emerging technologies, the right mindset and suitable talent. This week's newsletter is all about that.
RECOMMENDED ARTICLES:
Elevating Healthcare Solutions with AI | (by Jacek Szmatka)
By 2030, the healthcare industry will invest upwards of $188 billion USD in artificial intelligence. How can healthcare providers best integrate AI to deliver top solutions for patients and medical staff? What are the ways companies can take advantage of AI to improve healthcare? Read more
The Role of Observability in Distributed Systems | (by SÅ‚awomir Bendarczyk)
Enterprises have embraced microservices architecture to expand quickly and facilitate growth. However, microservices can only be effective if you implement the correct observability process. Explore the Importance of observability in distributed systems and the best tools to enhance it. Read more
INDUSTRY INSIGHTS:
The Biggest Barriers to Implementing AI Techniques | Survey
A survey by Gartner revealed that GenAI is the most commonly implemented type of AI solution. However, companies face several challenges, such as a lack of talent and skills. Interestingly, this is not the most pressing concern. What is? Explore the survey
Top Five Security Threats for 2024 | Podcast
What are the new threats CISOs need to be aware of in 2024, and how can they be countered? It's not only AI but also so-called narrative attacks. What are they and what are the rest of the threats? Forester's Listen Now podcast highlights the top five security threats for 2024. Listen more
ONE LAST THING:
"Organizations who are struggling to derive business value from AI can learn from mature AI organizations," said Leinar Ramos, Senior Director Analyst at Gartner. No matter your company’s size, implementing new tech always requires the right people to guide you through the obstacles.
Check our blog for more in-depth articles, insights and reports.
About Software Mind
Software Mind engineers software that reimagines tomorrow, by providing companies with autonomous development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI and data science to accelerate digital transformations and boost software delivery.
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