‘Big Data’ are two small words that are widely used to describe the massive growth in data of all forms and that hold; the promise of delivering huge potential business impact. The question is, how?
Today, and increasingly in the future, businesses are surrounded by masses of data and raw information. Some of this data is very relevant but much of it is not. Further, most of that data is unstructured in the form of email, documents, images and different types of social media, blogs, and so on. Unstructured data is notoriously difficult to access and query, it is scattered across many different locations and formats, and it requires some form of preprocessing before it can be analyzed and used. Yet, it is this unstructured type data that is primarily exploding in quantity, representing around 80 per cent of the annual growth of data and doubling in quantity every two years.
Presentation on Rural Marketing -ColgateSagar Sawant
Colgate has been the brand of all the people around india,Even in the Rural Markets,thanks to their rural strategy, the Presentation gives you a glimpse into rural marketing by Colgate
Projeto Rumo a nova ISO 9001 versão 2015: Contempla todos os produtos da QUALIENG Consultoria para a implementação, manutenção e melhoria de Sistemas de Gestão da Qualidade baseados na ISO 9001:2015.
Big data refers to the vast amount of structured and unstructured data that inundates organizations on a daily basis. This data comes from various sources such as social media, sensors, digital transactions, mobile devices, and more.
Data is poised to play an important role in the enterprises of the future, with businesses looking to scale up production and recover costs. Visit: https://www.raybiztech.com/blog/data-analytics/what-are-big-data-data-science-and-data-analytics
Presentation on Rural Marketing -ColgateSagar Sawant
Colgate has been the brand of all the people around india,Even in the Rural Markets,thanks to their rural strategy, the Presentation gives you a glimpse into rural marketing by Colgate
Projeto Rumo a nova ISO 9001 versão 2015: Contempla todos os produtos da QUALIENG Consultoria para a implementação, manutenção e melhoria de Sistemas de Gestão da Qualidade baseados na ISO 9001:2015.
Big data refers to the vast amount of structured and unstructured data that inundates organizations on a daily basis. This data comes from various sources such as social media, sensors, digital transactions, mobile devices, and more.
Data is poised to play an important role in the enterprises of the future, with businesses looking to scale up production and recover costs. Visit: https://www.raybiztech.com/blog/data-analytics/what-are-big-data-data-science-and-data-analytics
Big Data Analytics: Challenges And Applications For Text, Audio, Video, And S...IJSCAI Journal
All types of machine automated systems are generating large amount of data in different forms like
statistical, text, audio, video, sensor, and bio-metric data that emerges the term Big Data. In this paper we
are discussing issues, challenges, and application of these types of Big Data with the consideration of big
data dimensions. Here we are discussing social media data analytics, content based analytics, text data
analytics, audio, and video data analytics their issues and expected application areas. It will motivate
researchers to address these issues of storage, management, and retrieval of data known as Big Data. As
well as the usages of Big Data analytics in India is also highlighted
BIG DATA ANALYTICS: CHALLENGES AND APPLICATIONS FOR TEXT, AUDIO, VIDEO, AND S...gerogepatton
All types of machine automated systems are generating large amount of data in different forms likestatistical, text, audio, video, sensor, and bio-metric data that emerges the term Big Data. In this paper weare discussing issues, challenges, and application of these types of Big Data with the consideration of bigdata dimensions. Here we are discussing social media data analytics, content based analytics, text dataanalytics, audio, and video data analytics their issues and expected application areas. It will motivateresearchers to address these issues of storage, management, and retrieval of data known as Big Data. Aswell as the usages of Big Data analytics in India is also highlighted.
BIG DATA ANALYTICS: CHALLENGES AND APPLICATIONS FOR TEXT, AUDIO, VIDEO, AND S...ijscai
All types of machine automated systems are generating large amount of data in different forms like
statistical, text, audio, video, sensor, and bio-metric data that emerges the term Big Data. In this paper we
are discussing issues, challenges, and application of these types of Big Data with the consideration of big
data dimensions. Here we are discussing social media data analytics, content based analytics, text data
analytics, audio, and video data analytics their issues and expected application areas. It will motivate
researchers to address these issues of storage, management, and retrieval of data known as Big Data. As
well as the usages of Big Data analytics in India is also highlighted.
BIG DATA ANALYTICS: CHALLENGES AND APPLICATIONS FOR TEXT, AUDIO, VIDEO, AND S...gerogepatton
All types of machine automated systems are generating large amount of data in different forms like
statistical, text, audio, video, sensor, and bio-metric data that emerges the term Big Data. In this paper we
are discussing issues, challenges, and application of these types of Big Data with the consideration of big
data dimensions. Here we are discussing social media data analytics, content based analytics, text data
analytics, audio, and video data analytics their issues and expected application areas. It will motivate
researchers to address these issues of storage, management, and retrieval of data known as Big Data. As
well as the usages of Big Data analytics in India is also highlighted.
BIG DATA ANALYTICS: CHALLENGES AND APPLICATIONS FOR TEXT, AUDIO, VIDEO, AND S...gerogepatton
All types of machine automated systems are generating large amount of data in different forms like
statistical, text, audio, video, sensor, and bio-metric data that emerges the term Big Data. In this paper we
are discussing issues, challenges, and application of these types of Big Data with the consideration of big
data dimensions. Here we are discussing social media data analytics, content based analytics, text data
analytics, audio, and video data analytics their issues and expected application areas. It will motivate
researchers to address these issues of storage, management, and retrieval of data known as Big Data. As
well as the usages of Big Data analytics in India is also highlighted.
BIG DATA ANALYTICS: CHALLENGES AND APPLICATIONS FOR TEXT, AUDIO, VIDEO, AND S...gerogepatton
All types of machine automated systems are generating large amount of data in different forms likestatistical, text, audio, video, sensor, and bio-metric data that emerges the term Big Data. In this paper weare discussing issues, challenges, and application of these types of Big Data with the consideration of bigdata dimensions. Here we are discussing social media data analytics, content based analytics, text dataanalytics, audio, and video data analytics their issues and expected application areas. It will motivateresearchers to address these issues of storage, management, and retrieval of data known as Big Data. Aswell as the usages of Big Data analytics in India is also highlighted.
BIG DATA ANALYTICS: CHALLENGES AND APPLICATIONS FOR TEXT, AUDIO, VIDEO, AND S...ijscai
All types of machine automated systems are generating large amount of data in different forms like
statistical, text, audio, video, sensor, and bio-metric data that emerges the term Big Data. In this paper we
are discussing issues, challenges, and application of these types of Big Data with the consideration of big
data dimensions. Here we are discussing social media data analytics, content based analytics, text data
analytics, audio, and video data analytics their issues and expected application areas. It will motivate
researchers to address these issues of storage, management, and retrieval of data known as Big Data. As
well as the usages of Big Data analytics in India is also highlighted.
the influence of machine language and data science in the emerging worldijtsrd
The study describes the machine learning language with respect to big data sciences. The process of machine learning has evolved to have grown significantly to progress in information science. This progress has led to conquer different domains and are capable of solving myriad problems and upgrading the applicative properties. Hence, the present study is drafted to highlight the importance of machine learning process and language. Anitha. S "The Influence of Machine Language and Data Science in the Emerging World" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5 , August 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31907.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/31907/the-influence-of-machine-language-and-data-science-in-the-emerging-world/anitha-s
La base para optimizar y potenciar la toma de decisiones en cualqueir empresa es la información. Pero no la información en bruto, sino aquella de la que podemos obtener valor tras su análisis.
Now companies are in the middle of a renovation that forces them to be analytics-driven to
continue being competitive. Data analysis provides a complete insight about their business. It
also gives noteworthy advantages over their competitors. Analytics-driven insights compel
businesses to take action on service innovation, enhance client experience, detect irregularities in
process and provide extra time for product or service marketing. To work on analytics driven
activities, companies require to gather, analyse and store information from all possible sources.
Companies should bring appropriate tools and workflows in practice to analyse data rapidly and
unceasingly. They should obtain insight from data analysis result and make changes in their
business process and practice on the basis of gained result. It would help to be more agile than
their previous process and function.
Impact of Data Analytics in Changing the Future of Business and Challenges Fa...IJSRP Journal
Data Analytics refers to a comprehensive approach that makes use of both Qualitative and Quantitative Information in order to draw valuable insights and arriving at conclusions based on the extensive usage of statistical tools accompanied by explanatory and predictive models running over the data. It tries to understand the behavior and dynamics of businesses thereby leading to improved productivity and enhancing business gains by helping with appropriate decision making. Considering the intensified disruption caused by recent revolution in the field of Data Analytics, this articles aims to cover the potential impacts that Data Analytics could have over the already existing businesses and how new entrants, especially across the emerging economies, could make the best use of Data Analytics in gaining an edge over their competitors. It also aims to deep dive into the challenges faced by businesses while adopting or moving to Data Analytics and how they can overcome those challenging barriers for a successful future. .
Who needs Big Data? What benefits can organisations realistically achieve with Big Data? What else required for success? What are the opportunities for players in this space? In this paper, Cartesian explores these questions surrounding Big Data.
www.cartesian.com
CTRM - The Next Generation - ComTechAdvisory Vendor Technical UpdateCTRM Center
There is no doubt that technology has undergone a sea-change over the last decade or so potentially making it possible to build and deploy software faster and more cost-effectively while offering a host of features that help users to work smarter, faster and with less opportunity for error. Additionally, the way that applications are designed and built has also changed to take better advantage of these technologies. While arguably there is no single technology that facilitates a paradigm shift in Commodity Trading and Risk Management (CTRM) software, when you combine advances in all areas of solution development and deployment technology, then such a leap forward is both likely and desirable.
Nowhere is the gap between the possibilities offered by these leaps in technology and what is available as commercial solutions more apparent than in the commodity trading and risk management software category. There are many aging, legacy, solutions still being utilized, marketed, and deployed and yet, this is an industry that is experiencing unprecedented demands and change, which in turn, are placing increasing demands on the software it utilizes. What most commodity firms are seeking is more agile software platforms that can allow them to adapt and evolve through these changes. This growing demand is also accentuated by the younger, more tech-savvy people entering the business whose expectations are not being met by many existing solutions.
Managing Supply Chain Complexity and ExposuresCTRM Center
The supply chains for bulk commodities, including agricultural, metals/ores and some energies, are complex – usually necessitating transportation and storage using trucks, trains, ships, barges, pipelines, and terminals/storage facilities. These movements, and the assets utilized to make them, introduce and accumulate both cost and risk to the commodities owners with each step in the chain.
Additionally, as these commodities transit the supply chain, they may undergo changes that will impact their value, both as traded commodities and as a stock or inventory. These events can include transformations to finished products (such as refining crude oil into numerous petroleum products or grains milled into flour) and repackaging from bulk loads into smaller containers such as bags for wholesale or retail sales.
Global Sugar - A Complex Market that Requires a Fit for Purpose CTRM SolutionCTRM Center
Sugar is a global commodity, with almost 180 million metric tons being produced in more than 120 countries each year. Though much of the sugar produced by these countries is consumed locally in food products or, increasingly, for ethanol production, the largest producing countries are often exporters as well and in total contribute 60-70 million metric tons delivered into the global market each year.
Putting Data at the Heart of Energy TradingCTRM Center
In a digital world, data is King, and while energy and commodities have been going through a period of digitalizing for the last several years, there can be no doubt that coming up with data management strategies has also played an important, if not critical, role in those strategies as well. Indeed, this was strongly emphasized in Commodity Technology Advisory’s disruptive technologies research over the last few years, where more than half of all of those questioned in the industry.
US Dairy Markets – Digitalizing to address complexity and volatilityCTRM Center
US dairy markets are one of, if not the most, unique and complex commodity markets. Dairy production has unique physical characteristics not found in any other agricultural commodities, including continuous production, rapidly spoiling milk inventories, and multiple derivative products with a varying ability to store over time (i.e., fresh milk vs. cheese products).
Diversifying Into Renewable Energy: Challenges And OpportunitiesCTRM Center
The energy transition is the move away from fossil fuels towards renewable and sustainable forms of production and generation, in combination with increasing decarbonization (net zero) and electrification. The motivations behind the energy transition are primarily political, environmental, and increasingly, financial. Mostly, it is driven by Governments and international bodies (like the EU, which also sees renewables to increase its’ energy independence) through goal setting, provision of incentives, and legislation such as the US’s Inflation Reduction Act.
The push for decarbonization and ESG is also now being championed by large banks and financial institutions like Barclays Bank, who recently announced that it had tightened its financing rules and abandoned financing for oil exploration altogether. Over the last 12-months or so, geopolitics has played an ever-greater role in shaping the energy industry and the energy transition, as the fall-out from the Russia-Ukraine war has interfered with the energy transition agenda, resulting in soaring power and natural gas prices. This has wrought havoc with consumers and suppliers alike and stalled, or temporarily reversed, certain net zero initiatives, and encouraged the specter of market intervention.
The integration of trade and risk management solutions with the corporate accounting solution has long been an area of focus for commodity companies and software vendors alike. There are many apocryphal stories in the industry regarding trading profits that entitled trader’s to be paid large bonuses. Those trading profits then seem to evaporate when accounted for in the enterprise accounting system. These stories are symptomatic of a broader but important issue – that of integrating two sets of solutions to provide timely and accurate auditable results. Over the last three decades, many different approaches have been tried out and mooted to address and solve the problems. This paper will examine the problem and discuss potential solutions including highlighting the approach taken by Enuit.
How can your ETRM / CTRM solution help with creditCTRM Center
Current market conditions are forcing many firms exposed to commodities to perform a re-evaluation of their credit risk systems and business processes. As most commodity prices are extremely volatile and progressively rising through time due to issues like shortages, supply chain disruptions of various types including most importantly, political sanctions, increased demand and so on, default by a counterparty is seen as increasingly likely. Indeed, were it not for Government intervention, a few high-profile firms would already have defaulted. However, the need to manage cash more effectively is also driving an enhanced focus on credit risk as many commodity firms face huge margin calls from various exchanges and increased scrutiny by lenders. Importantly, the rapid emergence of regulations around ESG and carbon, whether planned or actual, are also having a huge impact on counterparty credit worthiness. As firms review their credit solutions, they are scrutinizing their ETRM / CTRM solutions and their role in managing credit risk as well.
In an era that is likely to be dominated by the energy transition, metals are set to become the new foundation of modern society. As more of everything is powered by clean electricity, demand for metals will pick up with everything from greater quantities of base metals needed to make batteries to store it all the way through to copper for the cables to carry it.
Other metals like iron in the form of steel, along with rare earth elements and speciality metals, will all also be needed in ever greater quantities to support electrification and construction. Metals like Lithium, Cobalt, Manganese, Zinc, Mercury, Silver, Cadmium are the key components of many types of battery along with Graphite in some instance.
RPS and RECs – Managing an Increasing Regulatory BurdenCTRM Center
Renewable energy certificates or ‘RECs’ have become the currency of the renewable power industry, allowing power providers to expand their product offerings and offer ‘green’ power irrespective of whether or not they can physically generate it. RECs also assure consumers who opt to buy renewable power, that that power has either come directly from a renewable generator, or if a renewable generator is not servicing their facility, that it is offset in the market by power from a renewable source, such as wind, solar or hydro, in another geographic area.
Global Renewables Transition Requires Dedicated ETRM CapabilitiesCTRM Center
Renewable energy resource development is accelerating around the globe as the push to reduce carbon emissions continues to gain momentum.
As the pace of renewable energy expansion quickens, market participants will continue to adjust to the commercial and financial implications as well as production variability and intermittency, reliability, and grid stability. In this white paper we will explore the changing nature of power markets, the complexities that will challenge utilities, power off-takers and traders, and the critical ETRM systems they rely on to ensure profitability.
Global LNG Navigating Risks in a Dynamic MarketCTRM Center
Liquified natural gas (LNG) has been a traded commodity for more than a century. But only in the last couple of decades has the market expanded to meet the ever-increasing demand for energy, through low carbon emissions energy sources. With the development of the massive Qatar LNG facilities in the mid-1990s and the increasing demand for imported gas, global LNG trading has grown from about 50 MTPA in 1990 to more than 350 MTPA in 2020.
Most energy commodities struggled with lower trade and consumption volumes under the pandemic-induced industrial shutdowns in 2020. LNG trade was, however, up slightly at 0.4% during the year, continuing its uninterrupted streak of year-over-year growth since 1996. However, that growth was far below rates in the preceding years which averaged 7% since 2004.
Disruptive Technologies – A 2021 UpdateCTRM Center
In 2021, Commodity Technology Advisory LLC (ComTech) published its first Disruptive Technologies research report (that version kindly sponsored by FIS). Technologies covered in the study scope included cloud/SaaS, Artificial Intelligence (AI), Machine Learning (ML), big data, automation and blockchain, amongst others. The findings were supported by an industry survey that led to the broad conclusions that cloud/SaaS and data management initiatives were in flight. AI, ML and automation seemed to be prepping for an explosion of use while blockchain was overhyped and lagging. Over the last couple of years, our general market observations as analysts have largely confirmed the results of the research.
In all of its forms, risk management is rapidly growing in importance within the commodity asset class. It will only become even more critical and complex in the future. Driven by unprecedented levels of change in the industry ranging from geopolitics to carbon, effective risk management is shifting for many commodity firms from just another activity to be managed to a critical component of business strategy that helps drive and inform brand, gain financing and trust, and demonstrates proper controls.
Over the years, there has been a growing realization that building a commodity trading and risk management (CTRM) solution is not a trivial task. Indeed, quite the opposite. It is a hugely complex piece of software that can never seem to meet all the varied needs of all the different types of companies buying and selling commodities around the globe.
Reimagining Energy Trading and Risk Management (ETRM) With Advanced Delivery ...CTRM Center
ETRM systems are, by their nature, complex software products as the software must mirror the full complexity of the commodities industries, markets, and assets that they serve. Spanning from contract administration through invoicing and settlement, the business processes involved in commodity trading varies greatly. This variation is created by the unique combinations and nature of the physical or financial commodity or commodities traded, as well as by the industry segment (power generation/trading, gas production/trading, agricultural production/trading, etc.), the assets employed in the supply chain(s) and geographic differences (North American power vs. European vs. Japan, for example).
Risk and Compliance – Lessons learned and looking beyond the COVID-19 EraCTRM Center
While it is commonly believed that the pandemic was a black swan event, according to most risk experts it wasn’t. As they point out, the COVID Pandemic was an event that was foreseeable in its occurrence, though perhaps not in its timing. Despite being (thankfully) rare, these types of events do occur and bring with them an increased awareness of the importance of proper and holistic risk management practices, not only as it applies to external risks (as the pandemic was), but also commercial and internal risks as well.
2021 Trends in Agricultural and Soft Commodities TradingCTRM Center
Arguably, all commodity and commodity-exposed businesses are facing unprecedented change and disruption. These numerous challenges range from climate and carbon to COVID lockdowns and work from home, to managing geopolitical and operational risks through supply chains while seeking to digitalise, automate and increase efficiencies across the business.
While talk of a new commodities supercycle may be premature, global population growth and the resulting increased demand suggest rising prices and volatilities, especially in agricultural commodities. Companies need enhanced agility in such markets. It starts with a modern software platform that provides adequate visibility and control over the business, from managing physical movements to limiting risks and exposure.
Achieving Digitalization in a Document Intensive Energy MarketCTRM Center
As energy companies seek to become more efficient and agile in a rapidly changing marketplace fraught with risks, digitalization - the process of evolving from manual or analog processes to more efficient and cost effective digital processes by reducing the number of times data is touched and ensuring greater accuracy and more rapid movement of data and information throughout the enterprise – continues to attract attention from CIOs across the energy value chain.
The global market for CTRM (Commodity Trading and Risk Management) software solutions that cater specifically for metals and ores trading and risk management is the third largest among the major commodity groupings of energy, ags & softs, and metals, at an estimated $174m in expenditures in 2019 according to ComTech’s most recent market sizing report. It is also among the most complex of these markets in terms of its functional requirements, especially in areas like concentrates and ores. Complexity is also found throughout the supply chain. Perhaps these are just some of the reasons why the metals market for CTRM and CM (Commodity Management) software have been underserved by commercially available solutions in the past.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
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✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
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✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
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✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
4. DATAGENIC’S NEWS ANALYTICS SYSTEM
DataGenic has been deeply engaged in the data management and aggregation business in commodity markets
for many years and has a broad array of blue chip clients in the industry. Recently, it has been developing a news
aggregation service to be a part of its GenicIQ product and designed to provide sentiment analysis that can be
used as an input in to trading decision-making and risk management. The objective was to,
/ Automatically process unstructured textual data in near
real-time to deliver both insight and value,
/ Utilise Twitter and a multitude of news resources avail-
able online as inputs,
/ Provide sentiment Analysis that had value to traders and
risk managers in the commodity space.
The problem for DataGenic was very much as described
above. It involved designing the delivery of a message/infor-
mation system in such a way that it facilitated a greater under-
standing of the market. By utilizing Twitter as one source of
raw information, DataGenic data scientists had to figure out
how to process over 4.5 million tweets in a 34 period (equat-
ing to some 150,000 – 400,000 tweets per day) and over 1.7
million news articles over 73 days of activity. The final product
needed the scalability to handle much more data than that in
real live use and at a greater velocity in order to produce sen-
timent scores, volume and indicators that could be exposed in
an readily consumable form both via DataIQ and through an
API.
By defining a process that involved stripping unnecessary and
superfluous data, utilising NLP and machine learning and the
development of scoring mechanisms, DataGenic has been
able to produce quite remarkable results for crude oil price
sentiment in its test case (Figure 1). The product is now live
and its output available to subscribers. The remarkable aspect
of DatGenic’s efforts at mining big data for its intrinsic busi-
ness value in the form of sentiment analysis is in how closely
the Twitter sentiment score appears to predict crude oil prices.
Deriving Business Value from Big Data using Sentiment analysis A ComTechAdvisory Whitepaper
Figure 1 – DataGenic’s Oil Price Sensitivity Analysis Results
6. ABOUT DATAGENIC
DataGenic is the leading global provider of on-premise and in-cloud Smart Commodity Data Management
software, delivering intelligent analytics, real-time data content and proven business value. The innovative
solutions include a data-agnostic multi-commodity data management platform, visual mapping and manage-
ment of business processes, extensive and extensible data quality management, unlimited forward curves
construction and an intelligent decision framework.
DataGenic operates in Europe, Asia and the Americas.
For more information, please contact DataGenic at:
AMERICAS: +1 281 810 8290
EMEA: +44 203 814 8500
APAC: + 91 802 662 2607
info@datagenicgroup.com
7. ABOUT
Commodity
Technology
Advisory
LLC
Commodity Technology Advisory is the leading analyst organization covering the ETRM and
CTRM markets. We provide the invaluable insights into the issues and trends affecting the
users and providers of the technologies that are crucial for success in the constantly evolving
global commodities markets.
Patrick Reames and Gary Vasey head our team, whose combined 60-plus years in the energy
and commodities markets, provides depth of understanding of the market and its issues that is
unmatched and unrivaled by any analyst group.
For more information, please visit:
www.comtechadvisory.com
ComTech Advisory also hosts the CTRMCenter, your online portal with news and views about
commodity markets and technology as well as a comprehensive online directory of software
and services providers.
Please visit the CTRMCenter at:
www.ctrmcenter.com
19901 Southwest Freeway
Sugar Land TX 77479
+1 281 207 5412
Prague, Czech Republic
+420 775 718 112
ComTechAdvisory.com
Email: info@comtechadvisory.com