Classifieds is going digital; but there's a lot happening behind the scenes to accomplish the digitization. This deck discusses how technology facilitates the data acquisition part when running a digital classifieds engine.
Making Better Decisions Using BigData and AnalyticsBoaz Ziniman
The document discusses how companies are using Amazon Web Services (AWS) to gain insights from big data and make better decisions. It provides examples of how a mobile gaming company, financial organization, and AWS services like Athena and Redshift allow customers to analyze large amounts of data and gain insights faster. The document promotes AWS's large portfolio of services for big data, analytics, machine learning and more to help customers understand their businesses and customers better through data-driven insights.
The document discusses how businesses can leverage new technologies like cloud computing, web 2.0, and social media to gain benefits like faster time to market, reduced costs, and scalability. It notes challenges from economic conditions and recommends working with Apex Cloud, which offers consulting, implementation, and managed cloud services to help businesses realize these technology benefits on time and on budget.
Redshift, from Amazon Web Services, offers a compelling value proposition for organizations that need scalable data warehouses. The per terabyte cost of storage is 10% the market rate, but the real upside of Redshift has nothing to do with its price.
Customer Keynote: PIXNET Media Inc.- Business Intelligent and Analysis: Empir...Amazon Web Services
PIXNET integrates a great amount of user-generated blogs and attracts billions of visitors to PIXNET per week. Using these browsing logs, dozen millions of user behaviors are analyzed for business intelligent purposes. In this talk, empirical case study on beauty fashion will be elaborated.
This document discusses the transition from traditional on-premise IT to cloud IT. It shows that Infrastructure as a Service (IaaS) adoption is growing rapidly, with 50% of companies expected to use IaaS by 2014. It also discusses how this transition impacts system integrators, as public cloud providers capture infrastructure revenue and customers demand cloud-optimized solutions rather than traditional on-premise implementations. Integrators risk losing one third of their revenue and managed services business unless they develop cloud capabilities.
Derivitec provides a web-based risk and portfolio management system that allows funds to monitor and analyze risk without downloading any software. It aims to become the industry standard for risk analytics by offering a pay-as-you-go model that scales costs according to usage. The system imports trades from Excel, runs risk reports, and allows drill downs into portfolios, trades, and market data. Derivitec plans to expand its coverage of geographies, asset classes, and reports while migrating from an analysis tool to an integrated processing system capable of handling large sell-side clients.
Enterprise IT 3.0 - The Transformational Periodmike d. kail
This document discusses the transformational changes happening in enterprise IT and the move to IT as a Service (ITaaS). Key points include removing silos between teams by treating them like APIs, enabling new technologies rather than prohibiting them, and transforming applications from monolithic to best of breed. The role of the CIO is changing as well, requiring a deeper business understanding and focus on innovation, integration, and involvement. Netflix's goal of moving 100% of its IT infrastructure to the cloud within a year is provided as an example of this transformation.
Classifieds is going digital; but there's a lot happening behind the scenes to accomplish the digitization. This deck discusses how technology facilitates the data acquisition part when running a digital classifieds engine.
Making Better Decisions Using BigData and AnalyticsBoaz Ziniman
The document discusses how companies are using Amazon Web Services (AWS) to gain insights from big data and make better decisions. It provides examples of how a mobile gaming company, financial organization, and AWS services like Athena and Redshift allow customers to analyze large amounts of data and gain insights faster. The document promotes AWS's large portfolio of services for big data, analytics, machine learning and more to help customers understand their businesses and customers better through data-driven insights.
The document discusses how businesses can leverage new technologies like cloud computing, web 2.0, and social media to gain benefits like faster time to market, reduced costs, and scalability. It notes challenges from economic conditions and recommends working with Apex Cloud, which offers consulting, implementation, and managed cloud services to help businesses realize these technology benefits on time and on budget.
Redshift, from Amazon Web Services, offers a compelling value proposition for organizations that need scalable data warehouses. The per terabyte cost of storage is 10% the market rate, but the real upside of Redshift has nothing to do with its price.
Customer Keynote: PIXNET Media Inc.- Business Intelligent and Analysis: Empir...Amazon Web Services
PIXNET integrates a great amount of user-generated blogs and attracts billions of visitors to PIXNET per week. Using these browsing logs, dozen millions of user behaviors are analyzed for business intelligent purposes. In this talk, empirical case study on beauty fashion will be elaborated.
This document discusses the transition from traditional on-premise IT to cloud IT. It shows that Infrastructure as a Service (IaaS) adoption is growing rapidly, with 50% of companies expected to use IaaS by 2014. It also discusses how this transition impacts system integrators, as public cloud providers capture infrastructure revenue and customers demand cloud-optimized solutions rather than traditional on-premise implementations. Integrators risk losing one third of their revenue and managed services business unless they develop cloud capabilities.
Derivitec provides a web-based risk and portfolio management system that allows funds to monitor and analyze risk without downloading any software. It aims to become the industry standard for risk analytics by offering a pay-as-you-go model that scales costs according to usage. The system imports trades from Excel, runs risk reports, and allows drill downs into portfolios, trades, and market data. Derivitec plans to expand its coverage of geographies, asset classes, and reports while migrating from an analysis tool to an integrated processing system capable of handling large sell-side clients.
Enterprise IT 3.0 - The Transformational Periodmike d. kail
This document discusses the transformational changes happening in enterprise IT and the move to IT as a Service (ITaaS). Key points include removing silos between teams by treating them like APIs, enabling new technologies rather than prohibiting them, and transforming applications from monolithic to best of breed. The role of the CIO is changing as well, requiring a deeper business understanding and focus on innovation, integration, and involvement. Netflix's goal of moving 100% of its IT infrastructure to the cloud within a year is provided as an example of this transformation.
This document discusses celebrating uniqueness and individuality in a changing world. It notes that jobs, work-life balance, and lifestyles are changing, and that individuality is essential. It advocates celebrating uniqueness but also verifying important truths through a consent-driven and transparent approach. The document then discusses some of the challenges of building software for financial services, including balancing requirements from clients, partners, and regulators while ensuring security, compliance, and usability.
Moving to the Cloud - Risk vs. Reward.
Presented at Green Data Center Conference: Innovation in the Cloud, by Steven Robert in San Francisco, CA - May 25th, 2011.
6 Commonly Asked Questions from Customers Building on AWSRackspace
This session is ideal for IT/Infrastructure Manager, Application Developers, System Architects/Administrators and anyone who is growing their AWS footprint. We will uncover recent customer experiences at every stage while you can network with peers that face similar challenges.
Customer’s Cloud: How to better understand and respond to the needs of your ...Eduardo Mendez Polo
This document discusses cloud computing usage and delivery models. It notes that 35% of IT spending will occur outside of IT departments by 2015, with non-IT departments growing their cloud spending by 90% over the decade. It outlines common cloud delivery models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) for both residential and business users. The document also discusses differences between public and private clouds and advises that companies should decide whether to focus on pure cloud services or integrating cloud into existing service-based offerings.
This slide deck was presented at #DataOnCloud event London. DataOnCloud is an invite-only event for CIOs and top IT innovators. DataOnCloud enables key decision makers to discuss about real life adoption scenarios, challenges and best practices for leveraging Big, Small and Line Of Business Data on Cloud.
Aditi Technologies, a 'cloud first' technology services company organized #DataOnCloud, an event series focused on orchestrating data on cloud and navigating the complexity around integration, security, platform selection and technology solutions.
Aditi Technologies partnered with Microsoft for this 2-hour, CXO roundtable event in global technology hubs - London, New York, Seattle and San Diego
Stop observing data ! - Turn them into business with OpenDataSoftOpenDataSoft
This document promotes OpenDataSoft, a data-driven software company. It pitches OpenDataSoft as a turnkey backend that allows organizations to link, spread, explore, and share data through APIs and apps in a scalable way. It provides different pricing tiers for OpenDataSoft's services and highlights feedback from customers who were able to launch data portals and reduce costs using OpenDataSoft.
This document discusses Infrastructure as a Service (IaaS), one type of cloud computing service model. IaaS provides on-demand access to computing infrastructure resources like servers, storage, and networking on a pay-as-you-go basis. It allows users to host websites, applications, and build virtual data centers in a scalable and cost-effective manner. The global IaaS market is projected to see significant growth between 2019-2022 as more organizations adopt cloud computing to reduce costs while gaining scalability and flexibility.
Celer Network is a layer-2 scaling platform that aims to bring interactive, secure, and low-cost applications to every blockchain by providing 20,000x reduction in transaction latency and 100x lower costs for Ethereum, as well as zero transaction fees for smart contracts. It has achieved this through its cStack and cEconomy technologies, and its testnet app already has over 2500 monthly active users and processes 3.5 million transactions per month, demonstrating that scalability can drive adoption.
John Glendenning - Real time data driven services in the CloudWeAreEsynergy
This document discusses real-time data driven services in the cloud. It provides examples of business needs like adapting quickly to customer demands and scaling IT investments without risk. NoSQL databases like Apache Cassandra are presented as solutions to handle big data workloads across data centers with continuous availability and scalability. Cassandra's architecture and performance benefits are summarized. DataStax Enterprise is highlighted as a production-certified platform with analytics, search and multi-datacenter capabilities.
To support aggressive 5x growth without increasing IT budgets or headcount, Starbucks shifted from a traditional "plan, build, run" IT model to a more flexible service-based model using VMware's Software Defined Data Center. This virtualized, automated, and managed Starbucks' compute, storage, availability, network and security through a single console, enabling efficient capacity planning and performance management with the same IT staff. Starbucks can now do more with existing resources and centralized management has provided real-time visibility across applications, security, and storage.
Creating a High-Performance IT Organizationmike d. kail
This document summarizes the goals and philosophy of Netflix's IT organization. It discusses Netflix's growth to 40 million subscribers and original content portfolio. The key goals of the IT organization are to move 100% of its infrastructure to the public cloud by 2015 and to operate with 10x more agility than traditional IT organizations. The compensation philosophy pays top of market salaries in all cash with no bonuses or equity to attract top talent and operate efficiently.
ITCamp 2018 - Magnus Mårtensson - Azure Global Application PerspectivesITCamp
Building and running a service for a truly global audience has always been the ultimate challenge for any business and for any application developer. In this session, we will discuss global perspectives on running your application tier in a scalable way – WebApps/APIs, Traffic Manager and Serverless. We will discuss the new Cosmos DB service offering in Azure and it’s built in global sync with little more than a press of a button on your end – data was always the final frontier of globalization of your app. We will look at what it takes to monitor this kind of an environment. Naturally this is a very big set of topics which means this session is aimed to give an overview, spark a discussion and provide some directional and inspirational input.
Whether you’re a leader of Infrastructure & Operations for a large enterprise or a mid-sized business looking to scale, you’ll likely have similar questions about multi-cloud that need answers.
Digital Transformation with data science and AI. implementing AI @ scale with IBM cloud pak for data. An end to end cloud-native platform easily implemented in a private cloud, public cloud or hybrid cloud. Combining the power of open source tools with enterprise support of IBM is important for organizations to realize the value fast. Accelerate their efforts to become digital companies.
Self -Service Data preparation for Data-Driven marketingJean-Michel Franco
Marketing needs data to operate in the digital era. But there's a data gap. Self Service data preparation is tackling the painful last mile of data, the one that makes everyone ready to put data at work for its own needs. See how that works.
Định Hướng Dữ Liệu Trong Nền Kinh Tế Chia Sẻ: Uber, GrabTaxi, AirBnBDinh Le Dat (Kevin D.)
The document discusses data-driven marketing in the sharing economy. It defines data-driven marketing as acquiring, analyzing, and applying customer data to understand wants, needs, behavior, and motivations. Classical businesses miss opportunities by not utilizing data to provide customized experiences. Data can be used to achieve customer intimacy, design simple experiences, and actively listen to and respond to customers. The document provides examples of how mobility company ANTS uses real-time data from drivers and users to optimize operations, scheduling, predictions, and experiences.
Cloud computing allows users to increase resources and capabilities without investing in new infrastructure by providing subscription-based services over the Internet. It encompasses services like software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS) that extend existing IT capabilities. Cloud computing provides computation, software, data access, and storage without users needing knowledge of the underlying system infrastructure.
Gartner IT Symposium 2013: Delivering IT-as-a-Service with Cloud Brokering an...Gravitant, Inc.
This document discusses how Gravitant provides a cloud brokering and management solution that delivers IT-as-a-Service using a cloud solution factory. Key benefits highlighted include speeding up the process of delivering application infrastructure, reducing costs by up to 50%, and providing flexibility, control and governance over multiple cloud environments and services. The solution aims to simplify cloud complexity and allow organizations to choose the best cloud providers and offerings for their needs. An example case study with the State of Texas is provided, showing how Gravitant helped achieve a 40% reduction in cloud spending and a decrease in IT solution delivery times from over 9 months to less than 1 month.
The document discusses how cloud services are disrupting the traditional IT channel and outlines strategies for channel partners to capitalize on the shift to cloud. It introduces Gravitant's cloudMatrix platform, which aims to streamline the cloud value chain by enabling collaborative solution design, automated provisioning across multiple clouds, cost management, and other services. Case studies show how large system integrators and mid-sized partners can leverage the platform to offer cloud services brokerage and managed services.
This document discusses celebrating uniqueness and individuality in a changing world. It notes that jobs, work-life balance, and lifestyles are changing, and that individuality is essential. It advocates celebrating uniqueness but also verifying important truths through a consent-driven and transparent approach. The document then discusses some of the challenges of building software for financial services, including balancing requirements from clients, partners, and regulators while ensuring security, compliance, and usability.
Moving to the Cloud - Risk vs. Reward.
Presented at Green Data Center Conference: Innovation in the Cloud, by Steven Robert in San Francisco, CA - May 25th, 2011.
6 Commonly Asked Questions from Customers Building on AWSRackspace
This session is ideal for IT/Infrastructure Manager, Application Developers, System Architects/Administrators and anyone who is growing their AWS footprint. We will uncover recent customer experiences at every stage while you can network with peers that face similar challenges.
Customer’s Cloud: How to better understand and respond to the needs of your ...Eduardo Mendez Polo
This document discusses cloud computing usage and delivery models. It notes that 35% of IT spending will occur outside of IT departments by 2015, with non-IT departments growing their cloud spending by 90% over the decade. It outlines common cloud delivery models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) for both residential and business users. The document also discusses differences between public and private clouds and advises that companies should decide whether to focus on pure cloud services or integrating cloud into existing service-based offerings.
This slide deck was presented at #DataOnCloud event London. DataOnCloud is an invite-only event for CIOs and top IT innovators. DataOnCloud enables key decision makers to discuss about real life adoption scenarios, challenges and best practices for leveraging Big, Small and Line Of Business Data on Cloud.
Aditi Technologies, a 'cloud first' technology services company organized #DataOnCloud, an event series focused on orchestrating data on cloud and navigating the complexity around integration, security, platform selection and technology solutions.
Aditi Technologies partnered with Microsoft for this 2-hour, CXO roundtable event in global technology hubs - London, New York, Seattle and San Diego
Stop observing data ! - Turn them into business with OpenDataSoftOpenDataSoft
This document promotes OpenDataSoft, a data-driven software company. It pitches OpenDataSoft as a turnkey backend that allows organizations to link, spread, explore, and share data through APIs and apps in a scalable way. It provides different pricing tiers for OpenDataSoft's services and highlights feedback from customers who were able to launch data portals and reduce costs using OpenDataSoft.
This document discusses Infrastructure as a Service (IaaS), one type of cloud computing service model. IaaS provides on-demand access to computing infrastructure resources like servers, storage, and networking on a pay-as-you-go basis. It allows users to host websites, applications, and build virtual data centers in a scalable and cost-effective manner. The global IaaS market is projected to see significant growth between 2019-2022 as more organizations adopt cloud computing to reduce costs while gaining scalability and flexibility.
Celer Network is a layer-2 scaling platform that aims to bring interactive, secure, and low-cost applications to every blockchain by providing 20,000x reduction in transaction latency and 100x lower costs for Ethereum, as well as zero transaction fees for smart contracts. It has achieved this through its cStack and cEconomy technologies, and its testnet app already has over 2500 monthly active users and processes 3.5 million transactions per month, demonstrating that scalability can drive adoption.
John Glendenning - Real time data driven services in the CloudWeAreEsynergy
This document discusses real-time data driven services in the cloud. It provides examples of business needs like adapting quickly to customer demands and scaling IT investments without risk. NoSQL databases like Apache Cassandra are presented as solutions to handle big data workloads across data centers with continuous availability and scalability. Cassandra's architecture and performance benefits are summarized. DataStax Enterprise is highlighted as a production-certified platform with analytics, search and multi-datacenter capabilities.
To support aggressive 5x growth without increasing IT budgets or headcount, Starbucks shifted from a traditional "plan, build, run" IT model to a more flexible service-based model using VMware's Software Defined Data Center. This virtualized, automated, and managed Starbucks' compute, storage, availability, network and security through a single console, enabling efficient capacity planning and performance management with the same IT staff. Starbucks can now do more with existing resources and centralized management has provided real-time visibility across applications, security, and storage.
Creating a High-Performance IT Organizationmike d. kail
This document summarizes the goals and philosophy of Netflix's IT organization. It discusses Netflix's growth to 40 million subscribers and original content portfolio. The key goals of the IT organization are to move 100% of its infrastructure to the public cloud by 2015 and to operate with 10x more agility than traditional IT organizations. The compensation philosophy pays top of market salaries in all cash with no bonuses or equity to attract top talent and operate efficiently.
ITCamp 2018 - Magnus Mårtensson - Azure Global Application PerspectivesITCamp
Building and running a service for a truly global audience has always been the ultimate challenge for any business and for any application developer. In this session, we will discuss global perspectives on running your application tier in a scalable way – WebApps/APIs, Traffic Manager and Serverless. We will discuss the new Cosmos DB service offering in Azure and it’s built in global sync with little more than a press of a button on your end – data was always the final frontier of globalization of your app. We will look at what it takes to monitor this kind of an environment. Naturally this is a very big set of topics which means this session is aimed to give an overview, spark a discussion and provide some directional and inspirational input.
Whether you’re a leader of Infrastructure & Operations for a large enterprise or a mid-sized business looking to scale, you’ll likely have similar questions about multi-cloud that need answers.
Digital Transformation with data science and AI. implementing AI @ scale with IBM cloud pak for data. An end to end cloud-native platform easily implemented in a private cloud, public cloud or hybrid cloud. Combining the power of open source tools with enterprise support of IBM is important for organizations to realize the value fast. Accelerate their efforts to become digital companies.
Self -Service Data preparation for Data-Driven marketingJean-Michel Franco
Marketing needs data to operate in the digital era. But there's a data gap. Self Service data preparation is tackling the painful last mile of data, the one that makes everyone ready to put data at work for its own needs. See how that works.
Định Hướng Dữ Liệu Trong Nền Kinh Tế Chia Sẻ: Uber, GrabTaxi, AirBnBDinh Le Dat (Kevin D.)
The document discusses data-driven marketing in the sharing economy. It defines data-driven marketing as acquiring, analyzing, and applying customer data to understand wants, needs, behavior, and motivations. Classical businesses miss opportunities by not utilizing data to provide customized experiences. Data can be used to achieve customer intimacy, design simple experiences, and actively listen to and respond to customers. The document provides examples of how mobility company ANTS uses real-time data from drivers and users to optimize operations, scheduling, predictions, and experiences.
Cloud computing allows users to increase resources and capabilities without investing in new infrastructure by providing subscription-based services over the Internet. It encompasses services like software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS) that extend existing IT capabilities. Cloud computing provides computation, software, data access, and storage without users needing knowledge of the underlying system infrastructure.
Gartner IT Symposium 2013: Delivering IT-as-a-Service with Cloud Brokering an...Gravitant, Inc.
This document discusses how Gravitant provides a cloud brokering and management solution that delivers IT-as-a-Service using a cloud solution factory. Key benefits highlighted include speeding up the process of delivering application infrastructure, reducing costs by up to 50%, and providing flexibility, control and governance over multiple cloud environments and services. The solution aims to simplify cloud complexity and allow organizations to choose the best cloud providers and offerings for their needs. An example case study with the State of Texas is provided, showing how Gravitant helped achieve a 40% reduction in cloud spending and a decrease in IT solution delivery times from over 9 months to less than 1 month.
The document discusses how cloud services are disrupting the traditional IT channel and outlines strategies for channel partners to capitalize on the shift to cloud. It introduces Gravitant's cloudMatrix platform, which aims to streamline the cloud value chain by enabling collaborative solution design, automated provisioning across multiple clouds, cost management, and other services. Case studies show how large system integrators and mid-sized partners can leverage the platform to offer cloud services brokerage and managed services.
Using Scraping and Virtual Assistants to Create Massive Lead PipelinesSales Hacker
This document discusses using web scraping and virtual assistants to build a large lead pipeline for sales. It recommends scraping structured data from sites like Crunchbase to find leads, then hiring and training a virtual research team in places like Upwork to research the leads and populate them into a CRM. The research process involves finding name, company and email addresses for leads, then testing, training, and empowering the research team to scale the lead generation effectively. The goal is to generate thousands of qualified leads to fuel predictable revenue growth through outbound sales outreach.
Import.io @ Hustle Con - 10,000 Leads In 10 minutesSam Parr
Andrew Fogg presents a method for generating a large number of high quality leads in a short period of time. The method involves using import.io to extract data from a website where potential customers can be found, pulling the data into a spreadsheet to generate thousands of leads. Personalized messages are then sent to each lead using different communication channels, with the goal of starting conversations to identify interested customers. Over 10,000 leads were generated this way from the oDesk website in just 10 minutes.
How to build a six figure Intenet Marketing Consulting BusinessJohn Logar
The document provides information on how to start an internet marketing consulting business. It discusses that with knowledge of various internet marketing strategies and around $2,000, one can set up their own consulting business. It recommends selecting a niche market of companies spending $100,000-$500,000 annually on marketing. The summary also outlines the sales process of building a list, making contact, following up, presenting strategies and offering to engage clients.
Power Up Competitive Price Intelligence with Web DataConnotate
Unprecedented price transparency has shifted the balance of power to the consumer, compressing margins and shattering the strongholds of premium brands.
The document discusses search engines and web crawlers. It provides information on how search engines work by using web crawlers to index web pages and then return relevant results when users search. It also compares major search engines like Google, Yahoo, MSN, Ask Jeeves, and Live Search based on factors like market share, database size and freshness, ranking algorithms, and treatment of spam. Google is highlighted as having the largest market share and best algorithms for determining natural vs artificial links.
We are leading web scraping company expert in wide range of web scraping and data processing services. We can extract millions of data from any online business directory.
List of services we offer.
- Online Business Directory Scraping
- Website Data Scraping
- Email Searching
- Web research and Searching Missing Information
- Product Scraping and Uploading
- Data Mining and Data Cleaning
- Data Entry and Data Conversion
- Prospect Email List
Is there any work requirement? You can email us info@webscrapingexpert.com and we will get back to you with sample and an affordable price quote.
May i have your Skype id please? My Skype id is nprojectshub
Ms. Parekh developed a detergent with mild perfumes that leave clothes smelling fresh. She knows the market is dominated by large brands but local brands offer lower prices. Her marketing plan is to sell the detergent in blue and red at a lower price than leading brands. She will advertise and do door-to-door selling in Nagpur, do test marketing in Nagpur and nearby areas, and introduce detergent cake and liquid within six months.
The document describes the Analytic Hierarchy Process (AHP), a technique for structuring complex decisions. It involves breaking the decision down into a hierarchy, then using pairwise comparisons to determine the relative importance of criteria and alternatives. The example provided illustrates Judy Grim using AHP to choose a new computer system. She identifies hardware, software, and vendor support as criteria. Alternatives are three computer systems. Pairwise comparisons assign weights to criteria and ratings to alternatives on each criterion. The highest rated alternative is selected.
Applications of web scraping in the business worldPromptCloud
There's no limit to how companies can use the data. Some businesses use it to improve their user experiences whereas some use it for research and other studies that leads to newer business innovations. Here are 7 applications of web scraping in the business world.
Learn 33 ways to get more clients for your freelance business or agency. These strategies include helpful advice, resources and tools for each.
See the full blog post here:
http://clientflow.io/blog/33-ways-to-get-more-clients
Marketing Automation - Taking your business to the next levelPromptCloud
Marketing automation is a great way to streamline businesses and make you more efficient, giving you time to focus on the work that needs to be done: the face-to-face work, the phone calls, and the stuff that simply cannot be automated.
After all, why would you want to do the manual labor if you don’t have to?
Fortunately, in the past few years, a wide variety of ways & tools have launched that can really speak to the needs of startups, SMEs and larger businesses, giving them what it takes to be successful so they don’t have to worry about all that other stuff.
We will be talking about various ways in which Marketing Automation can help you take your business to next level. We will discuss lots of important tools & services which will help you increase efficiency of your business, save time & much more.
CrawlBoard is a dashboard for PromptCloud's data as a service that allows users to add sites, check feasibility, manage payments, and initiate crawls. Users with a recurring data requirement for their business can use CrawlBoard. Getting started involves signing up with a company email, adding a sitegroup which contains similar sites, submitting for a feasibility check, making a payment if feasible, and the crawlers will then be set up to deliver structured data via the chosen delivery method such as API, S3, or FTP.
The Future Is Here: How Social Affects Lead GenerationMarketo
Social for lead generation has finally stepped into the limelight, and for good reason. The question of whether or not it can be an effective B2B marketing strategy has been answered with an astounding yes. But now the question remains, “how do I successfully implement social into my overall strategy?”
For those who continue to ignore this question, social will remain in a silo along with a growing list of missed opportunities. For the rest of us, it’s time to drop the philosophical approach and get down to some tactics and metrics that drive revenue. The SlideShare deck above is a goldmine for social marketers. It’s a self-guided visual journey that will enlighten and layout a blueprint for success. Developed over several months and through a tremendous amount of trial and error, we have done the homework for you and laid the groundwork. From building a foundation, to combining inbound with outbound and finally fully integrating social with marketing automation, this is the one stop shop on the road to finally breaking social out of its silo and welcoming it to the revenue table.
An example of a successful proof of conceptETLSolutions
In this presentation we explain how to create a successful proof of concept for software, using a real example from our work in the Oil & Gas industry.
All matter, no matter how complex, can be broken down into molecules which can be broken down further into atomic elements. All web interfaces can be broken down down the same way. Atomic Design provides a methodology for building an effective design system. It consists of five distint stages: atoms, molecules, organisms, templates and pages.
DBaaS in the Real World: Risks, Rewards & TradeoffsScyllaDB
What do you give up – and gain – when moving to a fully-managed cloud database?
Now that database-as-a-Service (DBaaS) offerings have been “battle tested” in production, how is the reality matching up to the expectation? What can teams thinking of adopting a fully-managed DBaaS can learn from teams who have years of experience working with this deployment model?
Join this webinar to dive into the reality of working with various high-performance DBaaS offerings. We’ll cover the following topics, all supported with real-world examples:
- Developer flexibility
- Cost variability
- Security & privacy
- Performance impact
- Transparency & troubleshooting
Data as a Service (DaaS): The What, Why, How, Who, and WhenRocketSource
Data as a Service (DaaS) is one of the most ambiguous offerings in the "as a service" family. Yet, in today's world, data and analytics are key to building a competitive advantage. We're clearing up the confusion around DaaS and helping your company understand when and how to tap into this service.
While many enterprises consider cloud computing the savior of their data strategy, there is a process they should be following when looking to leveraging database-as-a-service. This includes understanding their own data requirements, selecting the right cloud computing candidate, and then planning for the migration and operations. A huge number of issues and obstacles will inevitably arise, but fortunately best practices are emerging. This presentation will take you through the process of moving data to cloud computing providers.
The document discusses the risks and rewards of big data in the cloud. It provides an overview of cloud computing categories including infrastructure as a service, platform as a service, and applications as a service. Benefits of cloud computing include flexibility, scalability, no upfront costs, and pay-per-use models. Risks include concerns over security and control of data and systems in the cloud.
This document discusses authentication issues in cloud computing. It outlines that authentication is the top security concern for businesses migrating to the cloud. The document examines different cloud deployment models and their issues, particularly the lack of control and transparency with public clouds. It also analyzes the challenges of managing users and synchronizing authentication data between internal and external cloud systems. Specific issues covered include privacy risks from cloud providers accessing customer information, and security risks from storing the same passwords across multiple cloud services.
Creating Insightful Reports with Data from Sugar and Other Critical SaaS SourcesSugarCRM
Murray Dunn, The Connection Cloud
Today, users of SaaS applications struggle to access their data for advanced reporting and BI. Many users need reports combine data from multiple applications such as SugarCRM, Intacct and Zuora. This typically means manually merging data from static spreadsheets to generate reports that stale, the minute they’re created. Users are addressing these challenges by turning to cloud data virtualization which provides instant connection to cloud application data to access exactly the data needed, from where it resides, into their preferred reporting tool. Join us to seehow these best practices can help you easily access your SugarCRM and other SaaS data for your advanced reporting needs.
The document discusses authentication issues in cloud computing. It notes that as more companies migrate services and data to the cloud, secure authentication is a major concern. Key issues include single points of failure, data breaches due to weak authentication methods, lack of control over authentication in public clouds, and managing multiple user accounts and authentication processes across different cloud services. The document examines authentication challenges associated with various cloud deployment models and the difficulty of synchronizing authentication between internal and external cloud systems.
The rise of cloud computing has led to innovations like Software as a Service (SaaS) where software and data are hosted offsite by a third party provider. SaaS provides significant cost savings by eliminating software installation and maintenance costs, and scaling costs up as needs grow. However, SaaS also raises privacy and reliability concerns as data is stored externally and outages could disrupt operations. While drawbacks exist, the document argues that SaaS benefits outweigh risks, which is why many companies now use cloud-based models.
How the Journey to Modern Data Management is Paved with an Inclusive Edge-to-...Dana Gardner
This document discusses how a data fabric approach can help organizations manage data from the edge to the core to the cloud in a harmonized way to improve insights. It explores some of the challenges organizations face with fragmented data and silos that limit insights. The HPE Ezmeral Data Fabric is presented as a solution that can provide common data access and governance across diverse data types and locations through standard APIs and security. This helps avoid issues around complexity, lock-in and lack of portability that come from point solutions and siloed data systems.
Don't let it PaaS you by - the future of application PaaS in Financial ServicesSentronex
PaaS (Platform as a Service) is gaining more momentum, but many firms are still unsure about what it is and how it can benefit their business. This slideshare provides a better understanding of what PaaS is, the key drivers to move to PaaS and how to go about implementing a PaaS solution, particularly for financial services businesses..
Considering The Cloud? Thinking Beyond The Readme FileBill Malchisky Jr.
This presentation discusses considerations for moving applications and infrastructure to the cloud. It defines cloud strategies like infrastructure as a service (IaaS), software as a service (SaaS), and hybrid models. It also covers assessing risks, performing a SWOT analysis, and using a decision matrix to evaluate options. The presentation provides advice on evaluating security, compliance, costs and other factors to determine what is best suited for the business needs and risk tolerance.
Is moving to the cloud worth IT? Yes, it provides better security and improved reliability. While it is hugely beneficial, it also has some pros and cons that should not be overlooked. Let’s take a look at the advantages and disadvantages of cloud computing.
This slide deck was presented at #DataOnCloud event New York. DataOnCloud is an invite-only event for CIOs and top IT innovators. DataOnCloud enables key decision makers to discuss about real life adoption scenarios, challenges and best practices for leveraging Big, Small and Line Of Business Data on Cloud.
Aditi Technologies, a 'cloud first' technology services company organized #DataOnCloud, an event series focused on orchestrating data on cloud and navigating the complexity around integration, security, platform selection and technology solutions.
Aditi Technologies partnered with Microsoft for this 2-hour, CXO roundtable event in global technology hubs - London, New York, Seattle and San Diego
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speaker: Lijia Xu, Big Data Practice Lead, Professional Services, AWS
This document discusses Software as a Service (SaaS) and when it may be preferable to traditional on-premise software for finance technologies. It finds that SaaS offers lower upfront costs, faster implementation, and easier upgrades than on-premise options. However, concerns include data security, customization limitations, and reliance on internet connectivity. SaaS maturity varies by application, with ERP becoming more cloud-based and specialized finance functions often having proven SaaS solutions. Companies should consider SaaS when requirements can be met, costs are lower over time, and legal/security issues are addressed by the vendor.
This document discusses a methodology for organizations to assess moving their data and applications to the cloud. It involves 5 steps: 1) conducting a thorough analysis of business processes, 2) utilizing data modeling to understand how data relates, 3) generating prototypes using simulated data, 4) reevaluating the cloud offering if needed, and 5) preparing a transition initiative including training for both IT and business users. The methodology helps organizations prioritize what data and applications make the most sense to move first by addressing concerns around data privacy, security and control.
Big Data’s Potential for the Real Estate Industry: 2021PromptCloud
Many real estate firms have long made decisions based on a combination of intuition and traditional, retrospective data. Today, a host of new variables make it possible to paint more vivid pictures of a location’s future risks and opportunities.
In this quickly technologizing industry, arming your team with the most robust data available and making important decisions based on the data is going to determine who wins and loses.Big data will become the key basis of competition and growth for individual firms, enhancing productivity and creating significant value for the world economy. In this white paper, we explore the real estate outlook for financial investment in 2021 and use cases demonstrating the power of data in transforming the real estate industry.
All You Need to Know About Web Crawling.pdfPromptCloud
Web crawling involves finding and downloading web pages through a program called a spider or crawler. The crawler extracts hyperlinks from downloaded pages and continuously downloads linked pages to access a substantial portion of publicly available web pages, downloading thousands of pages per second. Good crawlers are robust, distributed, scalable, performant, efficient, extensible, and produce high quality results. There are different types of crawlers that can focus on specific topics, incrementally update pages, or distribute work across networks. Crawlers work by starting with a list of URLs, visiting each page, collecting and indexing data, following links, and repeating the process. Web crawling has applications in search engine indexing, website optimization, market research, social media monitoring
The document discusses several myths about web scraping and clarifies that web scraping can be legal and beneficial when done appropriately. It notes that web scraping does not inherently overload websites or exist solely for data theft. While technical skills were once required, user-friendly tools now make web scraping accessible to businesses without extensive technical knowledge. PromptCloud aims to simplify web scraping for all users.
Looking for a similar tool like Octoparse? We have conducted thorough research on tools that can process web data to draw actionable insights. The results were amazing, as most of the web scraping tools that are available in the market offer unique value propositions for unique data requirements, differing from business to business. As you read further, you will be able to figure out the best Octoparse competitors & alternatives for your organizational data needs.
Most of the users use Octoparse to figure out how the market is functioning and to conduct data verification. However, conducting broad-level research might not always work for companies running in a niche domain. There are a lot of tools available today, offering value services like: easy usage, value for money, better user rating, getting structured data and etc, that could be a great fit for your business requirements. But first, let’s understand how Octoparse web scraping works.
How to Choose the Right Competitors & Alternatives of ParseHub Web Scraping Software?
Web scraping is generally used to understand the marketplaces and get visibility on the pricing structure of your competitors in the niche your company is invested in. Getting a fair understanding of various web scraping products and Parsehub competitors and alternatives will enable you to make informed decisions to grow your business. Read more to know how these tools work, scaling, delivery, target customers, and shortcomings. Read further, to take a look at companies offering data services according to industries, user rating, accessibility, deliverables, speed, interface, customer service, and technical challenges. But before we dive into this, let’s understand what web scraping is and how to access the ParseHub Web Scraping Software.
Product Visibility- What Is Seen First, Will ppt.pptxPromptCloud
Putting your products on multiple eCommerce websites may give you a broad reach, but might not be enough for them to be “visible”. Creating quality blogs or short videos on several themes could help you find a wider reach!You can partake in multiple activities like –
Talk about the USP of your products or highlight the star products.
Share a comparison of your products with your competitors.
Discuss topics related to the your product and services delivered by you. When users go to a product page, right after the images, they look at the heading and the description. Let’s take an example of a product listed on Amazon, to figure out how both headings and descriptions can increase the sales of your products.Read the complaints they have with similar products. Decide upon the size and quantity options that would suit the user base most. Understand the price point that is desired. And lo and behold you would have increased your product visibility!
Data plays a vital role in the fashion industry. It is used to drive decisions and strategy that generate sales, gain a better understanding of customers, and boost overall profit. Fashion designers and companies use data on a daily basis run a successful fashion business. However, the commonly perceived data used by fashion designers differ from the standard mathematical statistics commonly associated with the term “data”. Hence, data is not usually associated with the word fashion.
But, today’s top fashion houses are deploying several ways to use emerging analytical technologies in fashion retail today. We explore how the modern fashion industry uses data.
Data Standardization with Web Data Integration PromptCloud
Before analyzing data aggregated from multiple sources, it is essential to first standardize the datasets. At PromptCloud, we put special emphasis on this process and understand that as a web crawling company, our solution must enable our clients to integrate data efficiently.
Robert Downey Jr. playing Iron Man and Chris Evans playing Captain America are the most popular actors in the Marvel Cinematic Universe movies. Avengers: Endgame broke box office records by making $2.788 billion, becoming the highest-grossing film of all time. There are positive correlations between a movie's budget and reviewer ratings, and between reviewer ratings and the amount of money a movie collects at the box office.
15 Key Metrics Every E-commerce Business Should TrackPromptCloud
Tracking key metrics is important for ecommerce companies to analyze business performance and customer behavior. Some important metrics include sales conversion rate, customer acquisition cost, revenue by traffic source, new vs returning customers, conversion by device type, cart abandonment, percentage of returning customers, average order value, customer lifetime value, customer retention rate, average order size, email engagement, Google search performance, social media conversion rate, and number of transactions. Understanding these metrics can help companies improve marketing strategies, lower costs, increase sales and optimize the customer experience.
A web crawling bot traverses websites to extract important information depending on its purpose. There are five stages to creating a web crawling bot: 1) Understanding how the target site interacts with human users to lay the foundation for the bot. 2) Testing how the site interacts with a bot differently than a human. 3) Building the crawler bot based on the results of the previous tests. 4) Testing the bot under different conditions before production. 5) Extracting data points from pages and processing the data by deduplicating, normalizing, and formatting it for consumption.
Zipcode based price benchmarking for retailersPromptCloud
Here's our case study of a popular e-commerce platform based out of the United States, seeking data to be extracted from the web to enhance its pricing and product strategy.
Analyzing Positiveness in 160+ Holiday SongsPromptCloud
It is known that during any kind of celebration music is indispensable and the holiday season is no different. Since this time of the year brings positiveness, we decided to analyze the holiday songs to uncover some interesting insights related to musical features and positiveness in songs.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness, happiness and focus.
10 Mobile App Ideas that can be Fueled by Web ScrapingPromptCloud
We discuss various applications of web crawling and alternate data to fuel 10 potential mobile apps. The ideas range from reverse image search engine powered AI to voice of customer in ecommerce domain.
How Web Scraping Can Help Affiliate MarketersPromptCloud
This presentation discusses how web scraping services can be deployed to acquire trending ecommerce product data for better conversion in affiliate marketing.
This document analyzes and compares reviews of the top 10 most and least expensive hotels in London. Over 27,000 reviews were extracted from a major travel site and analyzed based on rating, number of reviews, review length, frequently used words, sentiment analysis and more. Key findings include the most expensive hotels having a slightly higher average rating, receiving more reviews in recent years, and reviews being longer on average. Common topics included staff, breakfast, location, cleanliness and views. Sentiment analysis found reviews to be largely positive for both hotel types.
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
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
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.
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
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
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
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This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."