Posts Tagged ‘machine learning’

In the rapidly evolving landscape of digital transformation, businesses are constantly seeking innovative ways to enhance their operations and gain a competitive edge. While Generative AI (GenAI) has been the hot topic since OpenAI introduced ChatGPT to the public in November 2022, a new evolution of the technology is emerging that promises to revolutionize how […]

Nowadays, AI is a crucial field with various frameworks like ML.NET that can be used to build amazing applications using pre-built models from cloud providers. It’s important to learn how these services work behind the scenes, how to create custom models, and understand how your application can interact with AI frameworks beyond just cloud providers […]

2024 is shaping up as a transformative year for the financial services sector, marked by technological strides and innovative trends. Our industry experts helped to provide valuable insights that unveil a tapestry of trends reshaping the industry this year. Client Retention and Personalization at Scale Financial services institutions are increasingly recognizing the importance of understanding […]

Feature Engineering is the preprocessing step used to make raw data usable as input to an ML model through transformation, aggregation, enrichment, joining, normalization and other processes. Sometimes feature engineering is used against the output of another model rather than the raw data (transfer learning). At a high level, feature engineering has a lot in […]

The Setting Imagine a solitary walk in a crowded park in the middle of downtown. Walking down the main path, one can hear joggers bounding past one’s left, a couple laughing to one’s right, a street musician playing the violin over one’s shoulder, and a group of children laughing at the playground somewhere off and […]

As we step into 2024, the transformative impact of Artificial Intelligence (AI) and generative AI on enterprise-level organizations has reshaped the business landscape in profound ways. The continual evolution of these technologies has empowered businesses to leverage advanced algorithms, predictive modeling, and generative capabilities, driving unprecedented innovation and efficiency. From enhancing decision-making processes to revolutionizing […]

Now that the dust has settled, the team has had the chance to Re:flect on the events and announcements of AWS re:Invent 2023. Dominating the conversation was the advancement and capabilities of Generative AI across several AWS Services, while not losing sight on the importance of application modernization and cloud migration. Perficient walked away with […]

The recent introduction of AWS Q has certainly caught the attention of the tech community. This new platform offers a promising set of features, including Retrieval Augmented Generation capabilities, aiming to enhance the domain of generative AI-powered assistance. It’s an interesting development that offers fresh possibilities for IT professionals and developers. In terms of utilizing […]

At the center of digital transformation, we face the exciting challenge of creating an ecosystem driven by high-performance, interconnected microservices developed in diverse languages such as Java, C#, JavaScript, and Python. At Perficient we extract the best of each language to shape an agile and efficient ecosystem.  Capturing data in real time: IoT and Priority […]

In today’s hyper-competitive business world, ensuring the continuous and efficient operation of critical machinery and equipment is paramount. Traditional maintenance strategies, based on scheduled inspections or reactive fixes, often fall short in preventing costly downtime and equipment failures. This is where Predictive Maintenance, powered by Artificial Intelligence (AI) and Machine Learning (ML), comes into play. […]

In the world of maintenance management, two key strategies have emerged as game-changers – Predictive Maintenance and Preventive Maintenance. Both are designed to maximize equipment uptime and reduce operational costs, but they take distinctly different approaches. In this blog, we’ll explore the differences between Predictive and Preventive Maintenance within the context of Oracle Cloud Maintenance […]

Harnessing AI and ML for Efficiency In today’s fast-paced business landscape, maintenance operations are a critical aspect of ensuring smooth and uninterrupted production processes. Equipment breakdowns, unexpected downtime, and inefficient maintenance practices can have a significant impact on both productivity and profitability. To address these challenges, many organizations are turning to advanced technologies like Artificial […]