Trifid Research is an experienced stock advisory firm registered with SEBI. Trifid Research has been reliable to delegate that investors and traders with better trading solution and invest tips.
The Muslim Style Chicken Biryani recipe tastes outstanding, fragrant, non-greasy yet finger-licking good with delicious flavor. If you are a Non Vegetarian, you might have tasted this in any Muslim functions.
Trifid Research is an experienced stock advisory firm registered with SEBI. Trifid Research has been reliable to delegate that investors and traders with better trading solution and invest tips.
The Muslim Style Chicken Biryani recipe tastes outstanding, fragrant, non-greasy yet finger-licking good with delicious flavor. If you are a Non Vegetarian, you might have tasted this in any Muslim functions.
La piattaforma web di CNA: Istanze Drupal replicabili integrate con Alfresco ...DrupalDay
Raccontiamo un case study decisamente importante per valutare la potenza e la flessibilità di Drupal in ambienti complessi.
Relatori: Daniele Piaggesi e Leonardo Guaragna
Fs 1 episode 4 individual differences and learners interactionNoel Parohinog
This is the Episode 4 of FS 1. In this episode, you will gain competence in determining teaching approaches and techniques considering the individual differences of the learners.
You will want to join because:
The study’s sample was 48% informal workers
the majority of respondents were low income before coronavirus (earned under $300 USD/month)
Adstream emea ai and the future of television advertising - e bookDigital Strategist
"The television and TV advertising industries are being radically reshaped by digitisation and the emergence of video streaming technologies. We take a look at how you can utilise these emerging technologies to maximise the impact of your advertising spend."
La piattaforma web di CNA: Istanze Drupal replicabili integrate con Alfresco ...DrupalDay
Raccontiamo un case study decisamente importante per valutare la potenza e la flessibilità di Drupal in ambienti complessi.
Relatori: Daniele Piaggesi e Leonardo Guaragna
Fs 1 episode 4 individual differences and learners interactionNoel Parohinog
This is the Episode 4 of FS 1. In this episode, you will gain competence in determining teaching approaches and techniques considering the individual differences of the learners.
You will want to join because:
The study’s sample was 48% informal workers
the majority of respondents were low income before coronavirus (earned under $300 USD/month)
Adstream emea ai and the future of television advertising - e bookDigital Strategist
"The television and TV advertising industries are being radically reshaped by digitisation and the emergence of video streaming technologies. We take a look at how you can utilise these emerging technologies to maximise the impact of your advertising spend."
The South Africa eCommerce Report April 2016 is brought to you by Visa.Digital Strategist
The South Africa eCommerce Report will appeal to any brand, retail, or digital marketer looking to understand the attitudes, preferences, and online shopping habits of South Africans. This report covers:
Demographic profiles of South African online shoppers and non-online shoppers
Internet usage and device usage
Other online activities of online shoppers
Frequency of online shopping and types of products purchased
Attitudes towards payment options, delivery times, and fees and returns
The impact of product reviews and price comparison websites on online shoppers
Drivers to increase online shopping frequency (delivery, payment methods, and discounts)
Comparison to AMPS data
Media Facts 2016 | South Africa & Southern African Development CommunityDigital Strategist
"OMD published the first comprehensive guide to the media industry in South Africa in 1997. Much has changed since then! The 2015 edition has been comprehensively updated and this latest edition is also available in pdf format on our website (www.omd.co.za)."
Reference: Millward Brown | AD Reaction Video | Global Digital Strategist
Millward Brown’s AdReaction Video study explored how, where, and why multiscreen users in 42 countries are viewing video, and what marketers need to know to create video that is effective across screens. We have interviewed over 13 500 multiscreen users (ages 16-45 who own or have access to a TV and a smartphone or tablet). We also tested 20 Tv ads in 8 countries across TV, digital and mobile platforms.
#ADReaction
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.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”