Thu.Jul 30, 2020

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Share & Empower – Time to take our community to the next level

Analytics Vidhya

Analytics Vidhya was created with a mission to create the next generation data science ecosystem in India. Today, we help millions of people and. The post Share & Empower – Time to take our community to the next level appeared first on Analytics Vidhya.

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What is ArchiMate?

erwin

ArchiMate is an enterprise architecture (EA) modeling language from The Open Group and used to communicate an organization’s enterprise architecture. Pronounced “ AR-ki-mayt” , the modeling language’s name comes from a compounding of “ archi tecture” and “ani mate.” The name conveys its aim to provide a way to visualize an organization’s EA. Unlike other modeling languages such as Unified Modeling Language (UML) and Business Process Modeling Notation (BPMN), ArchiMate is designed to be narrow in

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Qlik Sense vs. Tableau: Self-service analytics tools compared

CIO Business Intelligence

Business intelligence (BI) and analytics platforms have long been a staple for business, but thanks to the rise of self-service BI tools, responsibility for analytics has shifted from IT to business analysts, with support from data scientists and database administrators.

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Top Five Financial KPIs for Property Management Firms

Jet Global

What distinguishes a successful property management firm from all the others? It’s not their portfolio of properties. In fact, the truly elite firms are the ones that find ways to transcend their portfolio, capitalizing on the value of whatever they handle. They do that through careful financial management. Every firm balances the books, of course, but some treat accounting and finance like more than a routine obligation.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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What Are Rolling Forecasts?

Jedox

Rolling forecasts are a specific type of financial forecasting that use existing data to help predict aspects of business performance throughout the year. In this blog post, we explain what’s unique about this type of forecasting, how it works and why more and more companies are opting for rolling forecasts. It is the first post in our series on this topic.

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Making Neural Networks Smaller for Better Deployment: Solving the Size Problem of CNNs Using Network Pruning With Keras

Dataiku

There is a clear trend in the data science and machine learning industry on training bigger and bigger models. These models achieve near-human performance, but they are usually too big to be deployed on a device with constrained resources like a mobile phone or a drone. This is one of the main blockers to the broader adoption of AI in our everyday lives.

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Reusing a Recordset in an SSIS Object Variable

Tim Mitchell

A few years back, I wrote a blog post about using an SSIS object variable as a data flow source. In that post, I described how you could load a set of query results into an object-typed variable in SQL Server Integration Services and then use that in-memory data as a source within a data flow. In the comments and. The post Reusing a Recordset in an SSIS Object Variable appeared first on Tim Mitchell.

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Top 3 Ways that Predictive Analytics Can Impact Business Outcomes

TreehouseTechGroup

In business, knowledge is power, and the knowledge of what will happen in the future is a super-power. When data analytics, statistical algorithms, and machine learning come together, this super-power, also called predictive analytics, becomes a capability that can have a huge impact on business decisions and results. The use of data as a basis. Read More.

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Machine Learning Enhances VPN Testing Effectiveness In Amazing Ways

Smart Data Collective

In December, Springer published an insightful article about the value of deep learning for VPNs. The article “Deep learning-based real-time VPN encrypted traffic identification methods” delves into the use of machine learning to improve encryption models. However, there are other ways that machine learning is improving the quality of VPN technology.

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5 Excel Tips for Better Budgeting and Forecasting

Jet Global

Excel has such a long history in business accounting and corporate finance that it has inevitably become the butt of some easy jokes. Despite the complexity of the program and its decades-long contributions to the world of finance, there’s no question that many professionals have their own personal frustrations with Microsoft’s iconic spreadsheet solution.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.