Big Data and Data Analytics are key to the growth of the digital market. Which skills are most in demand, and how can the UK win the battle for data talent?
Two fundamental technologies to enter into mainstream information technology are Big Data and cloud computing. Although these two are not the same; as Big Data represents content, whereas cloud computing is infrastructure, the combination of both technologies can yield excellent results. Cloud computing provides enterprises with a cost-effective & flexible way to access a vast volume of information we call the Big Data. Because of Big Data and cloud computing, it is now much easier to start an IT company than ever before. https://vexxhost.com/blog/big-data-cloud-computing/
Why Big Data is a Top Priority for Enterprises - Infographics by RapidValueRapidValue
This is an info-graphics which tells why Big Data is a top priority for enterprises. It also predicts the size of the Big Data industry By 2017 and the industries most likely to invest in Big Data. The info-graphic also talks about the most important areas of Big Data usage and use cases for various industries.
This document lists upcoming data analytics events and webinars, including a webinar on getting started with people analytics on September 9, 2020. It also provides links to live COVID-19 data portals and recommends reports on business intelligence, analytics platforms, master data management solutions, and data integration tools. It includes contact information for two individuals, Phillip Simulis and Hector Del Castillo.
Driving Big Insight from Big Data - T3 Summit TED Talk - Kevin ForemanKevin Foreman
This document discusses how big data can provide insights into traffic congestion and transportation issues. It notes that big data refers to extremely large data sets that are difficult to analyze using traditional methods. Examples of big data related to transportation include GPS data from over 100 million vehicles and devices used to measure traffic congestion levels, costs, and travel times more accurately than distances. The document outlines how big data is enabling more accurate out-of-home advertising measurement, economic forecasting at local levels, accounting for travel times instead of just distances, and enhanced real estate analysis based on drive times to locations.
Middle east and north africa (mena) data center market 26-05-21Jessica Shirley
The Middle East and North Africa (MENA) data center market size to cross USD 5 billion by 2026, growing at a CAGR of 8% during the forecast period. The increased commercial 5G network deployment has led to the increased demand for high bandwidth internet in several Middle Eastern Tier II and Tier III cities. Edge data centers will create a decentralized data center model, where hyperscale facilities will connect multiple edge data centers. Saudi Arabia has been a leader in expanding its 5G networks, where telecom companies Zain, Saudi Telcom Company, and MOBILY are significant contributors to the market.
Government initiatives such as smart city development are likely to fuel the demand for data center services.
Telecommunication and colocation service operators dominate the Middle East data center market.
The Middle East & North Africa region is observing high investments in greenfield and modular data centers.
The contribution of traditional storage systems powered by HDDs is likely to decrease in the market.
The investment in servers was around 48% of the total investment in IT infrastructure in 2020, with all-flash and hybrid storage arrays dominating the market.
Service operators adopt liquid-based cooling techniques to cool facilities due to hot and humid climatic conditions in the Middle East & North Africa.
UPS systems are being widely adopted to provide backup power for cooling systems installed in the facility. The adoption of lithium-ion batteries is likely to increase during the forecast period as their price will decline. In the UAE, the market is observing the adoption of N+1 redundant UPS systems. Data center operators will increasingly use renewable energy to power facilities. Most facilities are equipped with up to 500 kVA UPS systems powered mostly by VRLA batteries with N+1 redundant configuration in Turkey.
The UAE and Turkey account for the largest revenue contribution to the MENA data center market share. The adoption of cloud-based services leads to the growth of retail and wholesale colocation services in the region. The MENA data center colocation market is witnessing an increase in the demand for colocation spaces across existing and upcoming data centers. The rapid investment in 5G technology and its deployment leads to the generation of a substantial amount of data, further increasing investments in the facilities.
The Middle East and North Africa data center market consists of a host of IT, electrical, & mechanical infrastructure providers and general contractors. The market is witnessing a massive increase in data usage by consumers using services offered by companies in the e-commerce, social media, and entertainment industries. Digital services provided by the BFSI and government sectors are also critical enablers for data growth in the market.
https://www.arizton.com/market-reports/middle-east-north-africa-data-center-market
Companies are increasingly investing in big data technology and analytics as nearly two-thirds plan to adopt these strategies. Big data requires teams of professionals with IT, software, and hardware expertise to manage large datasets and draw insights. Most business leaders believe big data will revolutionize operations similar to how the internet changed business models. IBM and SAS are leaders in the big data predictive analytics market according to Forrester.
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡Etu Solution
This document contains the opening remarks from Lin Longfen, the general manager of Jingcheng Group. It discusses how Gartner dropped "Big Data" from its hype cycle of emerging technologies in 2015 because it is now considered a mainstream part of many industries. Big data is still essential for major trends like the Internet of Things, Industry 4.0, and smart everything. The document emphasizes that understanding customers ("C") is key to a company's ("B") competitive advantage in the digital economy, and that leveraging industry data is a common development strategy across Jingcheng Group's business units.
Two fundamental technologies to enter into mainstream information technology are Big Data and cloud computing. Although these two are not the same; as Big Data represents content, whereas cloud computing is infrastructure, the combination of both technologies can yield excellent results. Cloud computing provides enterprises with a cost-effective & flexible way to access a vast volume of information we call the Big Data. Because of Big Data and cloud computing, it is now much easier to start an IT company than ever before. https://vexxhost.com/blog/big-data-cloud-computing/
Why Big Data is a Top Priority for Enterprises - Infographics by RapidValueRapidValue
This is an info-graphics which tells why Big Data is a top priority for enterprises. It also predicts the size of the Big Data industry By 2017 and the industries most likely to invest in Big Data. The info-graphic also talks about the most important areas of Big Data usage and use cases for various industries.
This document lists upcoming data analytics events and webinars, including a webinar on getting started with people analytics on September 9, 2020. It also provides links to live COVID-19 data portals and recommends reports on business intelligence, analytics platforms, master data management solutions, and data integration tools. It includes contact information for two individuals, Phillip Simulis and Hector Del Castillo.
Driving Big Insight from Big Data - T3 Summit TED Talk - Kevin ForemanKevin Foreman
This document discusses how big data can provide insights into traffic congestion and transportation issues. It notes that big data refers to extremely large data sets that are difficult to analyze using traditional methods. Examples of big data related to transportation include GPS data from over 100 million vehicles and devices used to measure traffic congestion levels, costs, and travel times more accurately than distances. The document outlines how big data is enabling more accurate out-of-home advertising measurement, economic forecasting at local levels, accounting for travel times instead of just distances, and enhanced real estate analysis based on drive times to locations.
Middle east and north africa (mena) data center market 26-05-21Jessica Shirley
The Middle East and North Africa (MENA) data center market size to cross USD 5 billion by 2026, growing at a CAGR of 8% during the forecast period. The increased commercial 5G network deployment has led to the increased demand for high bandwidth internet in several Middle Eastern Tier II and Tier III cities. Edge data centers will create a decentralized data center model, where hyperscale facilities will connect multiple edge data centers. Saudi Arabia has been a leader in expanding its 5G networks, where telecom companies Zain, Saudi Telcom Company, and MOBILY are significant contributors to the market.
Government initiatives such as smart city development are likely to fuel the demand for data center services.
Telecommunication and colocation service operators dominate the Middle East data center market.
The Middle East & North Africa region is observing high investments in greenfield and modular data centers.
The contribution of traditional storage systems powered by HDDs is likely to decrease in the market.
The investment in servers was around 48% of the total investment in IT infrastructure in 2020, with all-flash and hybrid storage arrays dominating the market.
Service operators adopt liquid-based cooling techniques to cool facilities due to hot and humid climatic conditions in the Middle East & North Africa.
UPS systems are being widely adopted to provide backup power for cooling systems installed in the facility. The adoption of lithium-ion batteries is likely to increase during the forecast period as their price will decline. In the UAE, the market is observing the adoption of N+1 redundant UPS systems. Data center operators will increasingly use renewable energy to power facilities. Most facilities are equipped with up to 500 kVA UPS systems powered mostly by VRLA batteries with N+1 redundant configuration in Turkey.
The UAE and Turkey account for the largest revenue contribution to the MENA data center market share. The adoption of cloud-based services leads to the growth of retail and wholesale colocation services in the region. The MENA data center colocation market is witnessing an increase in the demand for colocation spaces across existing and upcoming data centers. The rapid investment in 5G technology and its deployment leads to the generation of a substantial amount of data, further increasing investments in the facilities.
The Middle East and North Africa data center market consists of a host of IT, electrical, & mechanical infrastructure providers and general contractors. The market is witnessing a massive increase in data usage by consumers using services offered by companies in the e-commerce, social media, and entertainment industries. Digital services provided by the BFSI and government sectors are also critical enablers for data growth in the market.
https://www.arizton.com/market-reports/middle-east-north-africa-data-center-market
Companies are increasingly investing in big data technology and analytics as nearly two-thirds plan to adopt these strategies. Big data requires teams of professionals with IT, software, and hardware expertise to manage large datasets and draw insights. Most business leaders believe big data will revolutionize operations similar to how the internet changed business models. IBM and SAS are leaders in the big data predictive analytics market according to Forrester.
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡Etu Solution
This document contains the opening remarks from Lin Longfen, the general manager of Jingcheng Group. It discusses how Gartner dropped "Big Data" from its hype cycle of emerging technologies in 2015 because it is now considered a mainstream part of many industries. Big data is still essential for major trends like the Internet of Things, Industry 4.0, and smart everything. The document emphasizes that understanding customers ("C") is key to a company's ("B") competitive advantage in the digital economy, and that leveraging industry data is a common development strategy across Jingcheng Group's business units.
This document discusses the rise of data and data-driven business models. It notes that unprecedented volumes of data are being generated from sources like the internet, smartphones, apps, and IoT devices. This presents both challenges and opportunities for businesses. The author analyzes over 500 UK startups utilizing data and finds that most focus on B2B services using a subscription model. Many are building platforms to connect various stakeholders around data sharing and analytics. Successful data businesses develop scalable and defensible platforms that benefit from network effects. The document examines examples of both large and small data-driven companies and their business models.
Economic Impact of Coronavirus on Edge Data Center Market to Reap Excessive R...YachnaDiwan
Rising demand for seamless video streaming and increasing mobile data traffic are expected to boost development of edge data centers in future years. Edge data centers are facilities situated close to end users that provide cached content and cloud computing resources. They help reduce latency and improve user experience by processing data closer to end users. The global mobile data traffic was estimated at 26.8 exabytes per month in 2019 and is predicted to reach over 77.5 exabytes per month by 2022. Increased OTT traffic and proliferation of IoT and 5G networks are also fueling demand for edge data centers globally. As a result, the global edge data center market is expected to grow from $5.3 billion in 2019 to $53.1
Research Suggests Government IT Spending Will Go UpJohn Davis
Government IT budgets are predicted to increase 1.3% annually until 2017 according to a Gartner study. This increase will allow chief information officers to better manage IT services. Much of the additional funding will be spent on data centers, IT services, and software, indicating a focus on centralized infrastructure. Priorities include modernizing legacy systems, cloud computing, and mobile devices. While internal technology may be cut, digitizing public services is a key government priority as agencies aim to provide more digital options to citizens.
IoT613: Re-imagining Real Estate with the Internet of ThingsRick Huijbregts
Presentation for IOT613 about digital transformation in real estate. Digital Ceiling, Power over Ethernet. Creating new experiences for future generations.
This document discusses trends in big data and analytics. It shows that the volume of business data worldwide doubles every 1.2 years. It also highlights that movement to cloud-based offerings and adoption of machine learning are adding more value to big data. The convergence of IoT, cloud, and big data is creating new opportunities for customized, self-service analytics architectures.
The impact of IoT on a traditional market – Animal HusbandryATMOSPHERE .
The document discusses how IoT is impacting traditional animal husbandry markets. It notes that livestock production has evolved through animal confinement, genetic improvements, and more efficient feed. Digitalization and the use of technologies like IoT, cloud computing, big data analytics, and artificial intelligence are allowing for "precise livestock farming" through data collection. This data can then be used to differentiate products and systems, broker data between providers and analyzers, and integrate value chains and delivery networks to create smart livestock farming solutions. However, it cautions that without consumer support, the digitalization movement could lead to a dark future.
Breakfast Briefing: Mapping Out the Investment and M&A Landscape for Grid Edg...Jill Kirkpatrick
The document summarizes investment and merger & acquisition activity in the grid edge sector from 2010 to the first quarter of 2019. It finds that over this period, venture capital and private equity firms invested $11.6 billion across 1,033 deals. Energy storage saw over $5 billion invested, while customer energy management saw over $2.8 billion. Strategic utilities have increasingly participated in deals since 2010. The document also analyzes M&A activity regarding demand response and distributed energy resource management systems, totaling $665 million across 38 deals. Finally, it discusses European energy majors' recent acquisitions in areas like e-mobility and energy flexibility as they pursue grid edge opportunities.
Blockchain, also known as distributed ledger technology, is a simple technology construct but with far-reaching impacts, and it is coming quickly to oil and gas. Blockchain combines encryption, distributed computing, decentralized architecture and cloud computing in a novel way to create new business models that do not require trust between counter parties. Blockchain is thus poised to overhaul legacy ways of working in oil and gas that involve assets, ownership, identity, money, contracts and of course, trust. Beyond transformation of business processes (both operational and commercial), blockchain combines with other technologies such as the internet of things, artificial intelligence and automation in more profound ways to create fundamentally different business models. For example, blockchain and artificial intelligence working together on a powered device allows that device to purchase and settle power purchases based not just on load but the price of power. Early use cases of relevance to oil and gas include commodity trading, asset tracking, royalty and venture accounting, but other examples in areas as diverse as shipping, financial transactions, used equipment trading and of course, currency, also underscore the profound possibilities presented by this technology set.
This document discusses plans for a government-driven data incubator in Ukraine to promote open data and digital solutions. The incubator would have four main components: (1) developing digital solutions for infrastructure, agriculture, and energy using open government data; (2) creating digital services for citizens through public-private partnerships; (3) developing analytical data-driven solutions for every ministry; and (4) empowering city halls with civic technology. The incubator would provide startups with mentoring, resources from IT companies, and coworking spaces, while helping the government rollout eServices and make data-driven decisions. It aims to boost sectors like agriculture, energy, and public administration through open data initiatives.
Eric Warnke and Mark Fossen are the CEO and CIO respectively of Mover, a company that helps enterprises manage data gravity. Data gravity refers to how difficult it becomes to move large amounts of data as more data is accumulated and interconnected over time. As companies collect more data, the data becomes heavier to move. Mover provides services like transport, integration, scheduling, and security to help companies easily move unlimited amounts of data between servers as their data storage needs change.
At Envision Digital, our mission is to connect a fragmented world of technology and build a connected experience. With billion of devices, sensors and applications out there, Envision Digital task is to bring “the disrupted” and re-invented applications on the same platform. With a fragmented silo technology world today, Envision Digital has this solved with our EnOS Intelligent IoT platform, an operating system that integrates applications, sensor technology and information together to re-define the “New” experience.
We are here to unleash new potential of energy transformation into the ecosystem, creating a brave new world that is redesign at scale with information, experience and technology. This is a promise to help organization and people exploit the potential to improve our quality of life, own our sustainable living and create a better connect world we envision to work, live, play and have fun in.
Virksomheder der håndterer customer engagement systematisk, outperformer andre virksomheder. Fordi de kan måle og påvirke 360 grader rundt, 24 timer i døgnet. I dette indlæg vil du få 10 konkrete råd om, hvordan du kan tage fat i digitalisering af kunderejsen, bl.a.:
• Hvordan sætter man systemer op til at styre customer engagement?
• Hvilken rolle får CRM i kundeoplevelsen fremover?
• Hvordan indsamler og genbruger man kunde data intelligent?
Du får samtidig indsigt i, hvorfor Microsoft netop har købt LinkedIn: Hvad er den strategiske baggrund?
The document discusses trends and challenges in big data. It notes that big data is data that exceeds the processing capacity of conventional database systems due to its large size, speed, or structure. The big data market is expected to grow annually by 5-10% over the next 10 years. While the big data industry is growing rapidly, it faces shortages of big data specialists. Modern big data specialists need a combination of mathematical, programming, business, and communication skills.
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...CityAge
This document discusses big data and analytics trends from an IDC presentation. It notes that the amount of data managed by enterprises will grow 14x by 2020 while the number of IT professionals will only grow 1.5x. It defines big data and discusses the four V's of big data: volume, velocity, variety and value. Examples of big data uses cases and domains are provided along with barriers to adoption. The presentation emphasizes that big data is not just about technology but solving business problems, and that the network and analyzing data in real-time will be important for the digital universe of 2020.
How will the #tech industry change in 2018? My team shares our predictions for how edge computing for the IoT, China’s growing tech sector, the IPO market and more will shape the industry this year:
This document discusses the rise of data and data-driven business models. It notes that unprecedented volumes of data are being generated from sources like the internet, smartphones, apps, and IoT devices. This presents both challenges and opportunities for businesses. The author analyzes over 500 UK startups utilizing data and finds that most focus on B2B services using a subscription model. Many are building platforms to connect various stakeholders around data sharing and analytics. Successful data businesses develop scalable and defensible platforms that benefit from network effects. The document examines examples of both large and small data-driven companies and their business models.
Economic Impact of Coronavirus on Edge Data Center Market to Reap Excessive R...YachnaDiwan
Rising demand for seamless video streaming and increasing mobile data traffic are expected to boost development of edge data centers in future years. Edge data centers are facilities situated close to end users that provide cached content and cloud computing resources. They help reduce latency and improve user experience by processing data closer to end users. The global mobile data traffic was estimated at 26.8 exabytes per month in 2019 and is predicted to reach over 77.5 exabytes per month by 2022. Increased OTT traffic and proliferation of IoT and 5G networks are also fueling demand for edge data centers globally. As a result, the global edge data center market is expected to grow from $5.3 billion in 2019 to $53.1
Research Suggests Government IT Spending Will Go UpJohn Davis
Government IT budgets are predicted to increase 1.3% annually until 2017 according to a Gartner study. This increase will allow chief information officers to better manage IT services. Much of the additional funding will be spent on data centers, IT services, and software, indicating a focus on centralized infrastructure. Priorities include modernizing legacy systems, cloud computing, and mobile devices. While internal technology may be cut, digitizing public services is a key government priority as agencies aim to provide more digital options to citizens.
IoT613: Re-imagining Real Estate with the Internet of ThingsRick Huijbregts
Presentation for IOT613 about digital transformation in real estate. Digital Ceiling, Power over Ethernet. Creating new experiences for future generations.
This document discusses trends in big data and analytics. It shows that the volume of business data worldwide doubles every 1.2 years. It also highlights that movement to cloud-based offerings and adoption of machine learning are adding more value to big data. The convergence of IoT, cloud, and big data is creating new opportunities for customized, self-service analytics architectures.
The impact of IoT on a traditional market – Animal HusbandryATMOSPHERE .
The document discusses how IoT is impacting traditional animal husbandry markets. It notes that livestock production has evolved through animal confinement, genetic improvements, and more efficient feed. Digitalization and the use of technologies like IoT, cloud computing, big data analytics, and artificial intelligence are allowing for "precise livestock farming" through data collection. This data can then be used to differentiate products and systems, broker data between providers and analyzers, and integrate value chains and delivery networks to create smart livestock farming solutions. However, it cautions that without consumer support, the digitalization movement could lead to a dark future.
Breakfast Briefing: Mapping Out the Investment and M&A Landscape for Grid Edg...Jill Kirkpatrick
The document summarizes investment and merger & acquisition activity in the grid edge sector from 2010 to the first quarter of 2019. It finds that over this period, venture capital and private equity firms invested $11.6 billion across 1,033 deals. Energy storage saw over $5 billion invested, while customer energy management saw over $2.8 billion. Strategic utilities have increasingly participated in deals since 2010. The document also analyzes M&A activity regarding demand response and distributed energy resource management systems, totaling $665 million across 38 deals. Finally, it discusses European energy majors' recent acquisitions in areas like e-mobility and energy flexibility as they pursue grid edge opportunities.
Blockchain, also known as distributed ledger technology, is a simple technology construct but with far-reaching impacts, and it is coming quickly to oil and gas. Blockchain combines encryption, distributed computing, decentralized architecture and cloud computing in a novel way to create new business models that do not require trust between counter parties. Blockchain is thus poised to overhaul legacy ways of working in oil and gas that involve assets, ownership, identity, money, contracts and of course, trust. Beyond transformation of business processes (both operational and commercial), blockchain combines with other technologies such as the internet of things, artificial intelligence and automation in more profound ways to create fundamentally different business models. For example, blockchain and artificial intelligence working together on a powered device allows that device to purchase and settle power purchases based not just on load but the price of power. Early use cases of relevance to oil and gas include commodity trading, asset tracking, royalty and venture accounting, but other examples in areas as diverse as shipping, financial transactions, used equipment trading and of course, currency, also underscore the profound possibilities presented by this technology set.
This document discusses plans for a government-driven data incubator in Ukraine to promote open data and digital solutions. The incubator would have four main components: (1) developing digital solutions for infrastructure, agriculture, and energy using open government data; (2) creating digital services for citizens through public-private partnerships; (3) developing analytical data-driven solutions for every ministry; and (4) empowering city halls with civic technology. The incubator would provide startups with mentoring, resources from IT companies, and coworking spaces, while helping the government rollout eServices and make data-driven decisions. It aims to boost sectors like agriculture, energy, and public administration through open data initiatives.
Eric Warnke and Mark Fossen are the CEO and CIO respectively of Mover, a company that helps enterprises manage data gravity. Data gravity refers to how difficult it becomes to move large amounts of data as more data is accumulated and interconnected over time. As companies collect more data, the data becomes heavier to move. Mover provides services like transport, integration, scheduling, and security to help companies easily move unlimited amounts of data between servers as their data storage needs change.
At Envision Digital, our mission is to connect a fragmented world of technology and build a connected experience. With billion of devices, sensors and applications out there, Envision Digital task is to bring “the disrupted” and re-invented applications on the same platform. With a fragmented silo technology world today, Envision Digital has this solved with our EnOS Intelligent IoT platform, an operating system that integrates applications, sensor technology and information together to re-define the “New” experience.
We are here to unleash new potential of energy transformation into the ecosystem, creating a brave new world that is redesign at scale with information, experience and technology. This is a promise to help organization and people exploit the potential to improve our quality of life, own our sustainable living and create a better connect world we envision to work, live, play and have fun in.
Virksomheder der håndterer customer engagement systematisk, outperformer andre virksomheder. Fordi de kan måle og påvirke 360 grader rundt, 24 timer i døgnet. I dette indlæg vil du få 10 konkrete råd om, hvordan du kan tage fat i digitalisering af kunderejsen, bl.a.:
• Hvordan sætter man systemer op til at styre customer engagement?
• Hvilken rolle får CRM i kundeoplevelsen fremover?
• Hvordan indsamler og genbruger man kunde data intelligent?
Du får samtidig indsigt i, hvorfor Microsoft netop har købt LinkedIn: Hvad er den strategiske baggrund?
The document discusses trends and challenges in big data. It notes that big data is data that exceeds the processing capacity of conventional database systems due to its large size, speed, or structure. The big data market is expected to grow annually by 5-10% over the next 10 years. While the big data industry is growing rapidly, it faces shortages of big data specialists. Modern big data specialists need a combination of mathematical, programming, business, and communication skills.
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...CityAge
This document discusses big data and analytics trends from an IDC presentation. It notes that the amount of data managed by enterprises will grow 14x by 2020 while the number of IT professionals will only grow 1.5x. It defines big data and discusses the four V's of big data: volume, velocity, variety and value. Examples of big data uses cases and domains are provided along with barriers to adoption. The presentation emphasizes that big data is not just about technology but solving business problems, and that the network and analyzing data in real-time will be important for the digital universe of 2020.
How will the #tech industry change in 2018? My team shares our predictions for how edge computing for the IoT, China’s growing tech sector, the IPO market and more will shape the industry this year:
How will the #tech industry change in 2018? My team shares our predictions for how edge computing, enterprise bots, China’s growing tech sector, a robust IPO market, and more will shape the industry this year. Original post: https://goo.gl/pks6C6
- Tech Nation has supported over 5000 startups and scaleups in the UK, raising over $30B and generating over £600M in economic value.
- The UK tech sector has shown resilience during a global pullback in venture capital, raising $30B in 2022 compared to $41B in 2021.
- Emerging areas of strength for the UK include fintech, with over $11B raised, and deep tech, with over $4.7B raised.
- The government has committed over $3B to areas like quantum technology, AI, and the future of computing to support the UK becoming a global science superpower.
Mastering Big Data strategies for CFO'sMiguel Garcia
This document discusses the role of big data and analytics for CFOs and finance organizations. It defines big data as large volumes of diverse data that is growing rapidly. It provides examples of how big data is creating value for retailers through personalized offers, for healthcare through remote patient monitoring, and for financial services through new insurance products. The document argues that CFOs should play a leadership role in assessing big data initiatives to help drive growth and decision making.
Deloitte Canada predicts several trends in technology, media, and telecommunications for 2020:
1) By the end of 2020 there will be over 700 satellites in low-Earth orbit providing broadband internet, up from 200 in 2019, seeking to connect more people worldwide.
2) Sales of edge AI chips that perform machine learning tasks on devices will exceed 750 million units, more than double the 2017 prediction, as these chips bring AI capabilities directly to devices.
3) Over 100 companies worldwide will begin testing private 5G networks for use in industrial settings like factories and warehouses.
4) At least 1.6 billion people worldwide, about 450 million households, will still watch terrestrial television via antennas in
Top 15 Predictions about Data Analytics and AI for Decision MakersCygnet Infotech
Data Analytics and Artificial Intelligence are transforming businesses and societies in general. Know about how valuable they are for CXOs and other Decision Makers.
Integra: Summiting the Mountain of Big Data (Infographic)Jessica Legg
Concepted, copywrote and creative directed the development of a new infographic for Integra around the theme of Big Data.
Summary: The mountain of Big Data is growing, presenting immense opportunities for businesses ready to summit its peak, but the journey requires preparation.
Our infographic will help you understand how big "Big Data" is; the business advantages you can capture by tapping into its power; and how you can prepare to meet its demands—resulting in Big Gains from Big Data.
Centrica implemented a Hadoop data platform to gain insights from large and diverse data sources. This provided a single customer view and enabled new applications and dashboards to improve customer service. The previous data infrastructure was complicated and could not scale to handle growing IoT and smart meter data. The Hadoop implementation followed agile and DevOps practices and has been successful, winning industry awards. Centrica aims to further collaboration and leverage cloud to reduce costs as big data adoption continues.
- Global real estate investment volumes hit a record $1.8 trillion in the past year, driven by growth in Asia Pacific and Europe as transaction volumes in North America were flat.
- Top investment markets were New York, London, Los Angeles, and Paris. London extended its lead as the top market for cross-border investors.
- Capital is increasingly coming from all global regions, including the Middle East, Asia Pacific, Americas, and Europe.
- Key investment sectors included office, industrial/logistics, apartments, and hospitality. Top target cities were dominated by US cities across sectors.
- Going forward, investment strategies will focus on defensive "super gateway" markets, higher risk emerging markets and challenger
The document discusses opportunities and challenges in the Canadian IT sector. It notes that the IT sector contributes $52 billion to Canada's GDP and has an unemployment rate of 1.6% compared to the national average of 6.1%. While the IT sector is expected to see significant job growth over the next few years, there may be a shortage of over 100,000 skilled workers by 2009 and 1 million by 2016. The document also outlines some challenges facing the IT sector, such as declining enrollment in technology programs and barriers to employment for internationally educated professionals.
Digital Catapult is a UK nonprofit organization that aims to advance digital ideas and technologies to create new jobs, services, and economic growth. It works in four challenge areas - closed organizational data, personal data, creative content, and internet of things. Digital Catapult establishes centers and platforms to enable collaboration between large organizations and startups to unlock proprietary data through pilot projects. Its goal is to contribute £365 million to the UK economy and help 10,000 organizations by 2018 by convening open innovation across sectors.
This presents a high level overview of emerging IoT market in Canada. The author takes one of the biggest telecom
player as a case study to showcase a prioritization framework for IoT solutions.
Digitale Transformation in der Praxis, Event November 2016, präsentiert von Allgeier (Schweiz) AG und Microsoft Schweiz. Beleuchtung des Themas «Digitale Transformation» aus globaler Perspektive und Vorgehen in digitalen Transformations-Projekten. Praxisorientierte Showcases: Automatisierung von Rechnungseingang mit Finanzsystem-Integration, Daten-Integration in Office 365 anhand der Digitalisierung von Wertpapieraufträgen, Nutzung von Microsoft Dynamics CRM als zentrale Unternehmensplattform mit Integration in Microsoft SharePoint.
Artificial Intelligence, Machine Learning, Big Data information and trends. Some basic thinking and questions to ask as you lay out your Digital Strategy and roadmap.
The document discusses how B2B managed services supports digital transformation initiatives. It finds that most companies are embarking on digital transformation which requires effective management of new information sources. Many firms are consolidating legacy systems and moving to the cloud to introduce an integration layer. The survey found the highest adoption of cloud, analytics and B2B networks. It also found that outsourcing B2B integration was being considered by 66% of respondents to help focus resources on transformation goals. B2B managed services provides an integrated platform to enable digital supply chain capabilities.
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.
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
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
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
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/
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
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.
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."
A presentation that explain the Power BI Licensing
Big Data and Talent Aquisition
1.
2.
3. BIG DATA AND DATA ANALYTICS
ARE VITAL
TO THE UK’S DIGITAL GROWTH,
BUT
COMPANIES MUST COPE WITH THE
SHORTAGE OF TALENT
4. THE VALUE OF BIG DATA TO THE UK
ECONOMY OVER 2012 - 2017
£241
billion
NEW JOBS LED BY BIG DATA BY 2020157K
5. OF UK DIGITAL VACANCIES WILL
REQUIRE BIG DATA SKILLS BY 2020
62%
OF UK DIGITAL COMPANIES POINTED
TO A SHORTAGE IN DATA SKILLS AS
THE MAIN BARRIER FOR THEIR
DATA PROGRESSION
78%
6. 1 DATA WAREHOUSING AND VISUALIZATION
2 BEHAVIOUR MODELLING AND STATISTICS
3 DATABASE MANAGEMENT
4 HADOOP
5 VISUAL PRESENTATION SKILLS
5 MOST IN-DEMAND
BIG DATA SKILLS
8. "ALWAYS ON" RECRUITING
ALWAYS KEEP AN EYE IN CASE TOP TALENT
BECOMES AVAILABLE, EVEN IF YOU DON'T HAVE
A ROLE TO FILL AT THE MOMENT
SPLIT THE ROLES
SPLIT BIG DATA DUTIES IN 2: DATA
MANAGEMENT SPECIALIST (THAT REQUIRES LESS
SPECIALIZED SKILLS) AND DATA SCIENTIST
9. LOOK FOR A SPECIALIST RECRUITER
A SPECIALIST RECRUITER WILL HAVE AN
IN-DEPTH UNDERSTANDING OF THE MARKET
AND EMERGING SKILLS WHILE BEING ABLE TO
RECOMMEND THE BEST STRATEGIC
RECRUITMENT APPROACHES
NURTURE YOUR EXISTING TALENT
ENHANCE THE SKILLS OF YOUR WORKFORCE
WITH TRADITIONAL OR E-LEARNING CLASSES
10. SOURCES
The Big Data dilemma Report
(from House of Commons - Science and Technology Committee)
Understanding, Demystifying and Addressing the UK’s Big Data Skills Gap
(from Tech UK)
Big Data, Big Problem: Coping With Shortage of Talent in Data Analysis
(from Business.com)
Big Data; Big Potential
(from Lucas Group)
Winning the Big Data talent war with social recruitment
(from Social Hire)