Looking for something less expensive yet most beneficial for your lab? Get our SaaS LIMS solution! This solution has amazing features like instrument calibration, instrument integration, instrument maintenance and more. Visit our link to know more at http://www.edataplatform.com/saas-lims-software-document-management/
Comprehensive medical practice management software, CCDA manages daily operations effectively by scheduling appointments, saving patient demographics and managing billing tasks. For more information, visit at http://edataplatform.com/
lubricating the moving parts - defining tomorrow's (oil)fieldcloudfieldcloud SAS
Moving oil & gas data from sensor to engineer desktop (and back again) is often painful. Why? Because of friction at the interfaces between data, devices and people. Lots of moving parts that rub together - IT department versus automation/process control, legacy protocols, cybersecurity risks, lack of well site connectivity, complicated historian databases. We help you lubricate these moving parts making reservoir optimization a pleasurable experience. we distribute experience verification with faster edge devices and smarter networks.
Health Record Management- See how eData Platform health records management solutions give healthcare professionals the information management tools they need to provide optimal care for patients. For more info visit at: http://www.edataplatform.com/
Looking for something less expensive yet most beneficial for your lab? Get our SaaS LIMS solution! This solution has amazing features like instrument calibration, instrument integration, instrument maintenance and more. Visit our link to know more at http://www.edataplatform.com/saas-lims-software-document-management/
Comprehensive medical practice management software, CCDA manages daily operations effectively by scheduling appointments, saving patient demographics and managing billing tasks. For more information, visit at http://edataplatform.com/
lubricating the moving parts - defining tomorrow's (oil)fieldcloudfieldcloud SAS
Moving oil & gas data from sensor to engineer desktop (and back again) is often painful. Why? Because of friction at the interfaces between data, devices and people. Lots of moving parts that rub together - IT department versus automation/process control, legacy protocols, cybersecurity risks, lack of well site connectivity, complicated historian databases. We help you lubricate these moving parts making reservoir optimization a pleasurable experience. we distribute experience verification with faster edge devices and smarter networks.
Health Record Management- See how eData Platform health records management solutions give healthcare professionals the information management tools they need to provide optimal care for patients. For more info visit at: http://www.edataplatform.com/
Increase the productivity of your lab instruments with SaaS LIMS software! It comes with instrument calibration feature enabling instruments to be utilized in the best way. Visit us: http://www.edataplatform.com/lims-could-base-software/
Get started with a modern LIMS! It can be easily integrated with other systems and allows uninterrupted data transmission. To know more, Visit us: http://www.edataplatform.com/lims-could-base-software/
Have you considered a virtualized network? Affordable, secure, portable, scalable, and manageable... Just a few of the benefits that come with being empowered by network virtualization. Find out out ePlus along with strategic partners, HP and VMware, can save your organization time and money with an intelligent, responsive and centrally controlled network design.
In the AWS Life Sciences Days presentation you’ll learn best practices for architecting cloud-based applications for the Life Sciences industry with a deep technical overview and demos. Topics to be covered in this presentation include best practices when building a validated system on AWS for the Life Sciences, using Apache Spark in your bioinformatics pipeline, using container services for science in the cloud, and scalable Genomics Analysis in the Cloud with ADAM.
Looking at a Body Camera Initiative from an IT Infrastructure PerspectiveePlus
Implementing body cameras for your force brings many benefits but getting started can raise many complex questions. ePlus and EMC can help you build a surveillance storage foundation to optimize your body camera deployment. Contact ePlus today to start leveraging the industry's largest and most advanced surveillance validation labs and explore your body camera initiative.
How is EMC Enabling GE Businesses To Achieve the Power of 1%?EMC
Review solutions that the EMC Federation recommends to GE businesses. These solutions will help you simplify processes, connect GE data streams and allow you to automate data-driven decisions.
Basin intelligence for informative and strategic decision making and analysis.
With TGS Analytics, you gain deep basin intelligence for informative and strategic decision making along the project value chain. Our basin intelligence solution provides analytical partnerships to close any research gaps so you can make better informed decisions.
We differentiate our solution by bridging the gap between subsurface geologic data and interpretation with strategic analysis of production capabilities. Staying connected to the data allows for fast and transparent insights from a top-down view to each individual well.
Our tool integrates into your workflow allowing you to gain quick knowledge or perform individual analytics for your AOI.
EHR Integration: The Decision to Build or BuyRedox Engine
After you've created your digital health application, you'll need to power it by integrating with EHRs. With the potential to impact everything from your team to your bottom line, deciding whether you do it alone or with a partner is a choice that will affect your entire company.
In this slide, we'll break down the issues you need to consider when you decide whether to build or to buy your EHR integration.
Hosted by Nick John, a Redox Solutions Engineer.
Decision Confidence: Using Modern Approaches to Data Quality to Improve Trust...Precisely
data for critical business decisions, we need to reimagine how to ensure that we can trust data and be confident in our decisions. Join us as we demonstrate how to achieve trust in data across a variety of modern, legacy and hybrid environments.
In this demo, you will see how the Precisely Data Integrity Suite’s Data Quality solution provides the ability to:
· design data quality rules in the cloud and run in a variety of environments
· validate & geocode addresses and enrich data in a seamless experience
· alert users of data outliers, anomalies, and other data observations
· streamline the understanding of data quality across your organization with integrated data catalog and data governance capabilities
The Convergence of Data & Digital: Mapping Out a Cohesive Strategy for Maximu...Remy Rosenbaum
Slides from Joe Caserta's Keynote at MIT CDOIQ Symposium 2018
As we continue to shift into a data-driven digital society, it’s crucial to ensure a cohesive strategy
between the chief data officer and chief digital officer. In this talk, Joe Caserta will discuss the
convergence between data and digital, addressing the interdependencies, ambiguities, and
complications between the two. Joe will outline a cohesive strategy to enhance enterprise operations
and improve your bottom line.
Increase the productivity of your lab instruments with SaaS LIMS software! It comes with instrument calibration feature enabling instruments to be utilized in the best way. Visit us: http://www.edataplatform.com/lims-could-base-software/
Get started with a modern LIMS! It can be easily integrated with other systems and allows uninterrupted data transmission. To know more, Visit us: http://www.edataplatform.com/lims-could-base-software/
Have you considered a virtualized network? Affordable, secure, portable, scalable, and manageable... Just a few of the benefits that come with being empowered by network virtualization. Find out out ePlus along with strategic partners, HP and VMware, can save your organization time and money with an intelligent, responsive and centrally controlled network design.
In the AWS Life Sciences Days presentation you’ll learn best practices for architecting cloud-based applications for the Life Sciences industry with a deep technical overview and demos. Topics to be covered in this presentation include best practices when building a validated system on AWS for the Life Sciences, using Apache Spark in your bioinformatics pipeline, using container services for science in the cloud, and scalable Genomics Analysis in the Cloud with ADAM.
Looking at a Body Camera Initiative from an IT Infrastructure PerspectiveePlus
Implementing body cameras for your force brings many benefits but getting started can raise many complex questions. ePlus and EMC can help you build a surveillance storage foundation to optimize your body camera deployment. Contact ePlus today to start leveraging the industry's largest and most advanced surveillance validation labs and explore your body camera initiative.
How is EMC Enabling GE Businesses To Achieve the Power of 1%?EMC
Review solutions that the EMC Federation recommends to GE businesses. These solutions will help you simplify processes, connect GE data streams and allow you to automate data-driven decisions.
Basin intelligence for informative and strategic decision making and analysis.
With TGS Analytics, you gain deep basin intelligence for informative and strategic decision making along the project value chain. Our basin intelligence solution provides analytical partnerships to close any research gaps so you can make better informed decisions.
We differentiate our solution by bridging the gap between subsurface geologic data and interpretation with strategic analysis of production capabilities. Staying connected to the data allows for fast and transparent insights from a top-down view to each individual well.
Our tool integrates into your workflow allowing you to gain quick knowledge or perform individual analytics for your AOI.
EHR Integration: The Decision to Build or BuyRedox Engine
After you've created your digital health application, you'll need to power it by integrating with EHRs. With the potential to impact everything from your team to your bottom line, deciding whether you do it alone or with a partner is a choice that will affect your entire company.
In this slide, we'll break down the issues you need to consider when you decide whether to build or to buy your EHR integration.
Hosted by Nick John, a Redox Solutions Engineer.
Decision Confidence: Using Modern Approaches to Data Quality to Improve Trust...Precisely
data for critical business decisions, we need to reimagine how to ensure that we can trust data and be confident in our decisions. Join us as we demonstrate how to achieve trust in data across a variety of modern, legacy and hybrid environments.
In this demo, you will see how the Precisely Data Integrity Suite’s Data Quality solution provides the ability to:
· design data quality rules in the cloud and run in a variety of environments
· validate & geocode addresses and enrich data in a seamless experience
· alert users of data outliers, anomalies, and other data observations
· streamline the understanding of data quality across your organization with integrated data catalog and data governance capabilities
The Convergence of Data & Digital: Mapping Out a Cohesive Strategy for Maximu...Remy Rosenbaum
Slides from Joe Caserta's Keynote at MIT CDOIQ Symposium 2018
As we continue to shift into a data-driven digital society, it’s crucial to ensure a cohesive strategy
between the chief data officer and chief digital officer. In this talk, Joe Caserta will discuss the
convergence between data and digital, addressing the interdependencies, ambiguities, and
complications between the two. Joe will outline a cohesive strategy to enhance enterprise operations
and improve your bottom line.
Executing on the promise of the Internet of Things (IoT)Dell World
As sensors spread across almost every industry, the Internet of Things is triggering a massive influx of data. Data is coming from all directions – machinery, train tracks, shipping containers, and power stations. As we go from isolated systems to an integrated network of smart devices, enterprises need to develop smart data integration and analytics techniques to generate insights quickly. Not all data collected from sensors needs to be stored and analyzed in the cloud or data center. This session will discuss smart ways of integrating multiple data sources and using analytics techniques at the edge to enable faster decision making.
Modern Data Governance: Synergies with Quality and Observability Precisely
Data governance solutions are now a business imperative, but modern demands require integrated capabilities to discover, understand, track, and measure data integrity across many different organizational functions. See a demo of how the Precisely Data Integrity Suite’s Data Governance module delivers exponential value through a single solution for all data users and consumers across a typical business problem:
- Data Stewards: See new data element alerts to profile and add contextual details, review needed data quality rules, lineage, and impact and proactively monitor data changes over time.
- Business Owners: Easily understand data relationships to business objectives, and metrics, and request new actions
- Data Engineers: Receive assigned tasks for new data replication requests
- Data Analysts: Receive assigned tasks and connection details to create data quality pipelines and enrich data
IBM Solutions Connect 2013 - Getting started with Big DataIBM Software India
You've heard of Big Data for sure. But what are the implications of this for your organisation? Can your organisation leverage Big Data too? If you decide to go ahead with your Big Data implementation where do you start? If these questions sound familiar to you then you've stumbled upon the right presentation. Go through the presentation to:
a. Learn more on Big data
b. How Big data can help you outperform in your marketplace.
c. How to proactively manage security and risk
d. How to create IT agility to underpin the business
Also, learn about IBM's superior Big Data technologies and how they are helping today's organisations take smarter decisions and actions.
Gain New Insights by Analyzing Machine Logs using Machine Data Analytics and BigInsights.
Half of Fortune 500 companies experience more than 80 hours of system down time annually. Spread evenly over a year, that amounts to approximately 13 minutes every day. As a consumer, the thought of online bank operations being inaccessible so frequently is disturbing. As a business owner, when systems go down, all processes come to a stop. Work in progress is destroyed and failure to meet SLA’s and contractual obligations can result in expensive fees, adverse publicity, and loss of current and potential future customers. Ultimately the inability to provide a reliable and stable system results in loss of $$$’s. While the failure of these systems is inevitable, the ability to timely predict failures and intercept them before they occur is now a requirement.
A possible solution to the problem can be found is in the huge volumes of diagnostic big data generated at hardware, firmware, middleware, application, storage and management layers indicating failures or errors. Machine analysis and understanding of this data is becoming an important part of debugging, performance analysis, root cause analysis and business analysis. In addition to preventing outages, machine data analysis can also provide insights for fraud detection, customer retention and other important use cases.
Top 10 use cases for Microsoft Purview.pptxAlistair Pugin
So what is Microsoft Purview really?
How is it supposed to help organisations with their overall Cloud Security Posture?
In this session, we cover:
- Data classification
- Data loss prevention
- Data lifecyle management
- Data privacy management
By approaching security from a compliance perspective, companies can manage governance and mitigate risk by using out of the box compliance solutions from Microsoft Purview
IBM's Watson is a machine-learning platform that’s been built to mirror the same learning process that humans have: Observe, Interpret, Evaluate and Decide. Through the use of this cognitive framework, Watson can search through a database of information and pull out key insights to bridge gaps in human knowledge. It’s expertise scaling for enterprise.
Watson has already helped businesses across a variety of industries increase their customer engagement, data discovery and informed decision making abilities. Is your business next?
Data Lakes are early in the Gartner hype cycle, but companies are getting value from their cloud-based data lake deployments. Break through the confusion between data lakes and data warehouses and seek out the most appropriate use cases for your big data lakes.
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand. We will design a sample service model and map them to performance indicators to track operational and business objectives. We will also show you how to make Splunk service-ware with Splunk IT Service Intelligence (ITSI).
AntWorks is a global technology services company that offers future-proof, ‘user-first’ solutions to a wide range of traditional and new age enterprises. We help organizations expedite business decisions, automate processes, draw insights and deliver delightful user experiences. We stand to re-imagine IT by pushing the boundaries of innovation and information to spread the joy of technology.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Machine learning and optimization techniques for electrical drives.pptx
Kontrolmatik - Operational intelligence
1. Sensor Data Capture
Data Driven Insights
Analysis and Analytics
Sensor & Asset Context
Visualization Reporting
Data Aggregation
Predictive Analytics
SCADA/DCS/PLC/HMI
Come with us on a Journey to Operational Intelligence
2. Enterprise
Infrastructure
We offer An Infrastructure That Connects Your Enterprise
QualitySafety &
Security
Energy
Utilization
Process
Efficiency
Regulatory
Performance
Asset Health
Assets Assets Assets Assets Assets Assets
Unleash Your Infrastructure:
Set free your information infrastructure. Expand the boundaries of what your data can do.
3. We are Bridging Enterprise data for true OT/IT convergence
OT IT
Infrastructure
ERP PLM
Esri
SCADA MES
HMI
UserInterfaces
UserInterfaces
Operational
Intelligence
Business
Intelligence
Relat.
DB
Big
Data
Unstr.
DB
Data/Asset
Data/Asset
SCADA
PLC
LIMS
PI Data
Arch.
The Power of Connection:
Bridging the data divide. Connecting people, systems, and information
across the entire value chain.
4. QualitySafety &
Security
Energy
Utilization
Process
Efficiency
Regulatory
Performance
Asset Health
Process Engineers
Production Superintendents
CoE experts
Location Managers
Regional/Global Ops
Business leadership
Operators
Craftsmen
Supervisors
An Infrastructure helps data drive results across the enterprise
Achieve daily targets
Resolve immediate issues
Maintain schedule/plan
Safe operations
Detect excursions
Maintain process stability
Improve productivity
Improve quality
Understand/grade perf.
Adjust expectations
Establish plans
Calculate forecasts
Information on the Spot:
Access, visualize and leverage information across the enterprise on the spot wherever you are, when you need it.
5. What if you could leverage your data assets to…
• Key Performance Indicators
• Centers of Excellence
• Real time action
• Best practices
• Continuous innovation
• Energy rates
• Raw material costs, raw
material quality
• Water rates
• Labor rates
• Environmental regulation / mandates
• Process productivity
• Product quality / genealogy tracking
• Critical asset life / maintenance costs
• Energy / raw material / natural resource consumption
• Environmental performance / regulatory compliance and reporting
1
Enterprise
Visibility and
Management
2
Awareness
& Impact of
Uncontrollable
Factors
3
Directly Impact
Controllable Costs /
Performance
Key to delivering operational excellence is recognizing that it’s a journey to enable operational intelligence and it does not happen over night and requires multiple critical capabilities to turn data into usable intelligence
Critical to turning data to operational intelligence is recognizing the essential components of a data infrastructure
An infrastructure that delivers 100’s of Interfaces to connect and collect sensor based data from assets and process
An infrastructure that supports calculations and analysis that turn data into meaningful results for interpretation by people and advanced analysis tools
An Infrastructure that stores data that can be leveraged for not just real-time insights but also
Historical insights
Predictive insights
An infrastructure that aggregates data from multiple sources to provide more intelligence for the data stream, asset and process
An infrastructure capable of adding critical context to thousands to millions of data streams so the data can be shared across and organization and integrated into other systems for analysis and insights
An infrastructure that can serve the information to analysis tools and visualization suites that can turn information into actionable knowledge for data driven insights
In addition an Infrastructure that focuses on Context is critical to joining data across the enterprise and supporting data convergence, bid data and analytics strategies across the organization.
Today we are seeing IT and OT convergence where the IT and data centric organizations are facilitating OT and operations with their data strategies
For 25+ years IT have developed out comprehensive data strategies and business intelligence platforms to support business decisions.
With an Data Infrastructure for operations there is now an opportunity to combine Business and Operational Intelligence for enterprise decision making
By leveraging context governance is created that delivers a consistent dictionary and hieracrchy of terms associated with asset data streams to enable the joining of business and operations data not possible before. This for instance is essential for big data and data lake strategies for instance
For instance a common integration of IT and OT for our customers (example is the Lisbon Novartis presentation) is integrating data from MES (Manufacture and Execution) systems with ERP systems. A Data infrastructure allows data from the MES system to normalized, translated and mapped to streams fo data from the ERP system for historical, real-time and predictive insights into the manufacturing execution process.