Solutions Review’s Post

BYOL and BYO LLM are the latest integration offerings from the powerful collaborative partnership between Salesforce and Amazon Web Services (AWS). How does this latest collaboration power organizations to draw even more value from their data? #salesforce #amazon #amazonwebservices #aws #dataintegration #datalake #byol #byollm https://ow.ly/f5u750Qz987

This major doughnut chain needed to address multiple modernization initiatives, from modernizing legacy #applications to migrating workloads to #Microsoft #Azure. Read this client story to find out how Insight provided strategic support.

What was once a key strategy for exiting the data center management business is now presenting CIOs with challenges they sought to avoid. SaaS sprawl — the result not just of IT decisions but also line-of-business tech spending choices — has many IT leaders launching strategies aimed at reducing tech debt and complexity. CIOs are increasingly finding themselves tasked with rationalizing, managing, and integrating an ever-expanding lineup of SaaS offerings — many of which they did not introduce to the organization. Mergers and decentralization, compounded by cloud migration strategies, are major factors contributing to SaaS management headaches, resulting in increased complexity and redundancies that can be challenging to uncover. “The problem with SaaS applications is they don’t talk to each other or they don’t integrate. It’s often the data in these silos that needs to be integrated between multiple sites and multiple systems,” says Greg Beltzer, Head of Technology for the US wealth management arm of Royal Bank of Canada. Organizations now need help managing and tracking licensing, utilization, and governance, a significant shift from when they depended on only 15 to 30 key vendor partners. Nowadays, this number can exceed 100. Unfortunately, this also means engineers are often asked to deliver code to integrate and resolve problems between SaaS apps, instead of focusing on more impactful projects. For those looking to address this challenge within their organization, consider starting with Cloudera’s universal data distribution service. This enables developers to connect to any data source, regardless of its location or structure, process the data, and deliver it to any destination. With over 400 connectors and processors across the ecosystem of hybrid cloud services including data lakes, lakehouses, cloud warehouses, and sources born outside the cloud, we provide robust, secure, and governed data distribution. Moreover, we provide fully integrated and secure solutions across the data lifecycle - all of which are built on open-source tech such as NiFi & Kafka, Spark & Airflow, Hive & Impala, Hbase & Phoenix, and support any open-source or proprietary GenAI/LLM engines. In other words, we can help you both connect all your data and solutions, and reduce the number of point solutions you're using. We meet you where you’re at, helping you make the most of your investments and future-proof your infrastructure against changes in business, technology, or regulation.

The Middleware cloud observability platform helps companies deliver exceptional, error-free experiences to customers. Recently, Zach Michel set out to migrate off their homegrown dashboarding tool to conserve engineering resources for their customer-facing product. By choosing Omni, Middleware was able to: 📦 migrate all reports & build data model in 3️⃣ days ⬇ reduce engineering resources spent on analytics 🔎 increase ease of exploring unstructured data

“In 2024, the company’s main prediction is that enterprise software vendors will advance innovation needs while also accelerating how organizations consume and invest in enterprise software, addressing topics such as: cloud adoption and generative AI (GenAI) for enterprise software, adequate responsible and ethical governance strategies across business operations, and deeper business functional integration with enriched enterprise wide capabilities.” SpikeFli Analytics couldn’t agree more. 😉 #Governance #Data #CostControl #AI #EnterpriseSoftware Blair Beisel

This major doughnut chain needed to address multiple modernization initiatives, from modernizing legacy #applications to migrating workloads to Microsoft #Azure. Read this client story to find out how Insight provided strategic support.

This major doughnut chain needed to address multiple modernization initiatives, from modernizing legacy #applications to migrating workloads to Microsoft #Azure. Read this client story to find out how Insight provided strategic support.

This major doughnut chain needed to address multiple modernization initiatives, from modernizing legacy #applications to migrating workloads to Microsoft #Azure. Read this client story to find out how Insight provided strategic support.

This major doughnut chain needed to address multiple modernization initiatives, from modernizing legacy #applications to migrating workloads to Microsoft #Azure. Read this client story to find out how Insight provided strategic support.

This major doughnut chain needed to address multiple modernization initiatives, from modernizing legacy #applications to migrating workloads to Microsoft #Azure. Read this client story to find out how Insight provided strategic support.