Top 5 Deep Learning and AI Stories - August 30, 2019NVIDIA
Read the top five news stories in artificial intelligence and learn how innovations in AI are transforming business across industries like healthcare and finance and how your business can derive tangible benefits by implementing AI the right way.
Top 5 Deep Learning and AI Stories - August 30, 2019NVIDIA
Read the top five news stories in artificial intelligence and learn how innovations in AI are transforming business across industries like healthcare and finance and how your business can derive tangible benefits by implementing AI the right way.
Over the past decade, cloud computing has acted as a disrupter in several areas of IT business. Soon, it will overhaul one area of technology that has been in rapid growth itself: Data Analytics. Nicky will focus on the recent study of IBM Institute of Business Value which shows that capabilities that enable an organization to consume data faster – to move from raw data to insight-driven actions – are now the key differentiator to creating value using data and analytics. He will also talk about the requirements for the underlying infrastructure as critical component allowing real-time crunching and analysis of high volume of data. Based on real cases like retailers and energy companies, we will look at five predictions in five years, based on:
Analytics, Big data, and Cloud coming together will energize the Speed Advantage.
Artificial Intelligence and Data-centric businesses by Óscar Méndez at Big Da...Big Data Spain
Artificial Intelligence and Data-centric businesses.
https://www.bigdataspain.org/2017/talk/tbc
Big Data Spain 2017
November 16th - 17th Kinépolis Madrid
Big Data Expo 2015 - Cisco Connected AnalyticsBigDataExpo
The presentation will describe the Internet of Everything technology transition, where people, process, data and things are coming together to unleash 14,4 Trillion dollars global economic value.
The question is how do we capture this value by connecting the unconnected, while carving out actionable, replicable insights from Big Data ? The speech will include practical cases on how enterprises – including Cisco – and public sector agencies are able today to unleash economic, social and environmental value through data-intensive, new IT consumption models
This presentation, by big data guru Bernard Marr, outlines in simple terms what Big Data is and how it is used today. It covers the 5 V's of Big Data as well as a number of high value use cases.
The mountain of Big Data is growing, presenting immense opportunities for businesses ready to summit its peak, but the journey requires careful preparation. Integra helps businesses equip their network infrastructure to handle big requirements for Big Data—with fully-symmetrical Ethernet solutions designed to deliver low-latency, high-bandwidth connectivity between organizational peers, the cloud, and the servers where your data is stored. Our infographic, "Summiting the Mountain of Big Data" will help you understand how big "Big Data" really is; who's producing, consuming, managing and storing all that data; the business advantages you can capture by tapping into its power; and how you can prepare your organization to meet its demands—resulting in Big Gains from Big Data.
This presentation offers a basic understanding of Big Data. It does this by defining Big Data, offers a History of Big Data, Big Data by the Numbers and the 8 Laws of Big Data
Top 5 Deep Learning and AI Stories - October 6, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Gartner predicts top 10 strategic technology trends for 2018; Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure; chemistry and physics Nobel Prizes are awarded to teams supported by GPUs; MIT uses deep learning to help guide decisions in ICU; and portfolio management firms are using AI to seek alpha.
Big Data Expo 2015 - Microsoft Transform you data into intelligent actionBigDataExpo
Succesvolle big data klanten rapporteren een +47% hogere retailomzet per connected gebruiker, verhogen het slagingspercentage van leerlingen van 55 naar 78%, voorspellen met 92% nauwkeurigheid de uitslag van steekproefkeuringen en besparen 300 k$ per dag als gevolg van geoptimaliseerd onderhoud. Wat kenmerkt deze successen? Hoe kunt u uw data in intelligente aktie omzetten?
Build it…will they come by Shawn TrainerData Con LA
Abstract:- The truth about enabling self-service (and why you need it) Data is growing astronomically, historically and in real-time. So is the need for exploration and discovery. One size doesn’t fit all. We’ll be covering how to efficiently deliver information on-demand and promote self-service adoption with the right data platform.
Big Data: Industry trends and key playersCM Research
Big data is data that cannot be analysed on a traditional database. Companies that develop the database platforms to analyse big data will make a fortune. This report looks at industry trends and the key players in this emerging industry.
Weiyan Zhao, Nationwide Insurance - A Decade of Data Science. The Nationwide ...Sri Ambati
This session was recorded in NYC on October 22nd, 2019 and can be viewed here: https://youtu.be/_RxH-bNRqp0
A Decade of Data Science. The Nationwide Journey
The Nationwide Enterprise Analytics Office (formerly Customer Insights and Analytics) has more than 10 years of experience in end-to-end data product development and system integration. The culture to attract, train and develop talent, the technical advancement to apply the new methods, the model factory to productionalize models, and responsive processes to measure business impact have all contributed to positive business outcomes as well as this team’s fast growth. In this talk, we will introduce Nationwide’s data science capabilities through case studies of a few data products they have built and deployed.
Bio: Weiyan Zhao is the Director of Data Science at Nationwide Insurance’s Enterprise Analytics Office. She currently leads a team of data scientists to provide enterprise solutions that drive business value and influence decisions through application of advanced statistical modeling and machine learning techniques. Previously, Weiyan served as an Analytics Manager at Chase, and as a Research Associate at Nationwide Children’s Hospital and at University of Texas at San Antonio. She received her PhD in Epidemiology and Statistics, and has been passionate about data and analytics throughout her career. Additionally, she is also a long term volunteer for different non-profit organizations to promote culture and diversity, and mentors young professionals.
50 Shades of Data - Dutch Oracle Architects Platform (February 2018)Lucas Jellema
Gone are the days of a single enterprise database – typically and Oracle RDBMS – that holds all data in a strictly normalized form. We work with many more types of data (big and fast, structured and unstructured) that we use in various ways. Relational and ACID is not applicable to all of those. Always the latest, freshest data may not be uniformly valid either. We will continue to see an increase in specialized data stores that cater for specific needs and specific scenarios.
This presentation is a combination of a presentation and a demonstration on the various dimensions and use cases of using data and data stores in various ways – while ensuring the appropriate (!) levels of freshness, integrity, performance. Key take away: what as an architect you should know about the various types of data in enterprise IT and how to store/manage/query/manipulate them. What products and technologies are at your disposal. How can you make these work together - for a consistent (enough) overall data presentation. How are upcoming architectural patterns such as CQRS (command query responsibility segregation) , event sourcing and microservices influencing the way we handle data in the enterprise? Some of the technologies discussed: products such as MongoDB, MySQL, Neo4J, Apache Kafka, Redis, Elastic Search and Hadoop/Spark, Oracle Data Hub Cloud (based on Apache Cassandra) – used locally, in containers and on the cloud. Additionally we will discuss data replication scenarios.
Over the past decade, cloud computing has acted as a disrupter in several areas of IT business. Soon, it will overhaul one area of technology that has been in rapid growth itself: Data Analytics. Nicky will focus on the recent study of IBM Institute of Business Value which shows that capabilities that enable an organization to consume data faster – to move from raw data to insight-driven actions – are now the key differentiator to creating value using data and analytics. He will also talk about the requirements for the underlying infrastructure as critical component allowing real-time crunching and analysis of high volume of data. Based on real cases like retailers and energy companies, we will look at five predictions in five years, based on:
Analytics, Big data, and Cloud coming together will energize the Speed Advantage.
Artificial Intelligence and Data-centric businesses by Óscar Méndez at Big Da...Big Data Spain
Artificial Intelligence and Data-centric businesses.
https://www.bigdataspain.org/2017/talk/tbc
Big Data Spain 2017
November 16th - 17th Kinépolis Madrid
Big Data Expo 2015 - Cisco Connected AnalyticsBigDataExpo
The presentation will describe the Internet of Everything technology transition, where people, process, data and things are coming together to unleash 14,4 Trillion dollars global economic value.
The question is how do we capture this value by connecting the unconnected, while carving out actionable, replicable insights from Big Data ? The speech will include practical cases on how enterprises – including Cisco – and public sector agencies are able today to unleash economic, social and environmental value through data-intensive, new IT consumption models
This presentation, by big data guru Bernard Marr, outlines in simple terms what Big Data is and how it is used today. It covers the 5 V's of Big Data as well as a number of high value use cases.
The mountain of Big Data is growing, presenting immense opportunities for businesses ready to summit its peak, but the journey requires careful preparation. Integra helps businesses equip their network infrastructure to handle big requirements for Big Data—with fully-symmetrical Ethernet solutions designed to deliver low-latency, high-bandwidth connectivity between organizational peers, the cloud, and the servers where your data is stored. Our infographic, "Summiting the Mountain of Big Data" will help you understand how big "Big Data" really is; who's producing, consuming, managing and storing all that data; the business advantages you can capture by tapping into its power; and how you can prepare your organization to meet its demands—resulting in Big Gains from Big Data.
This presentation offers a basic understanding of Big Data. It does this by defining Big Data, offers a History of Big Data, Big Data by the Numbers and the 8 Laws of Big Data
Top 5 Deep Learning and AI Stories - October 6, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Gartner predicts top 10 strategic technology trends for 2018; Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure; chemistry and physics Nobel Prizes are awarded to teams supported by GPUs; MIT uses deep learning to help guide decisions in ICU; and portfolio management firms are using AI to seek alpha.
Big Data Expo 2015 - Microsoft Transform you data into intelligent actionBigDataExpo
Succesvolle big data klanten rapporteren een +47% hogere retailomzet per connected gebruiker, verhogen het slagingspercentage van leerlingen van 55 naar 78%, voorspellen met 92% nauwkeurigheid de uitslag van steekproefkeuringen en besparen 300 k$ per dag als gevolg van geoptimaliseerd onderhoud. Wat kenmerkt deze successen? Hoe kunt u uw data in intelligente aktie omzetten?
Build it…will they come by Shawn TrainerData Con LA
Abstract:- The truth about enabling self-service (and why you need it) Data is growing astronomically, historically and in real-time. So is the need for exploration and discovery. One size doesn’t fit all. We’ll be covering how to efficiently deliver information on-demand and promote self-service adoption with the right data platform.
Big Data: Industry trends and key playersCM Research
Big data is data that cannot be analysed on a traditional database. Companies that develop the database platforms to analyse big data will make a fortune. This report looks at industry trends and the key players in this emerging industry.
Weiyan Zhao, Nationwide Insurance - A Decade of Data Science. The Nationwide ...Sri Ambati
This session was recorded in NYC on October 22nd, 2019 and can be viewed here: https://youtu.be/_RxH-bNRqp0
A Decade of Data Science. The Nationwide Journey
The Nationwide Enterprise Analytics Office (formerly Customer Insights and Analytics) has more than 10 years of experience in end-to-end data product development and system integration. The culture to attract, train and develop talent, the technical advancement to apply the new methods, the model factory to productionalize models, and responsive processes to measure business impact have all contributed to positive business outcomes as well as this team’s fast growth. In this talk, we will introduce Nationwide’s data science capabilities through case studies of a few data products they have built and deployed.
Bio: Weiyan Zhao is the Director of Data Science at Nationwide Insurance’s Enterprise Analytics Office. She currently leads a team of data scientists to provide enterprise solutions that drive business value and influence decisions through application of advanced statistical modeling and machine learning techniques. Previously, Weiyan served as an Analytics Manager at Chase, and as a Research Associate at Nationwide Children’s Hospital and at University of Texas at San Antonio. She received her PhD in Epidemiology and Statistics, and has been passionate about data and analytics throughout her career. Additionally, she is also a long term volunteer for different non-profit organizations to promote culture and diversity, and mentors young professionals.
50 Shades of Data - Dutch Oracle Architects Platform (February 2018)Lucas Jellema
Gone are the days of a single enterprise database – typically and Oracle RDBMS – that holds all data in a strictly normalized form. We work with many more types of data (big and fast, structured and unstructured) that we use in various ways. Relational and ACID is not applicable to all of those. Always the latest, freshest data may not be uniformly valid either. We will continue to see an increase in specialized data stores that cater for specific needs and specific scenarios.
This presentation is a combination of a presentation and a demonstration on the various dimensions and use cases of using data and data stores in various ways – while ensuring the appropriate (!) levels of freshness, integrity, performance. Key take away: what as an architect you should know about the various types of data in enterprise IT and how to store/manage/query/manipulate them. What products and technologies are at your disposal. How can you make these work together - for a consistent (enough) overall data presentation. How are upcoming architectural patterns such as CQRS (command query responsibility segregation) , event sourcing and microservices influencing the way we handle data in the enterprise? Some of the technologies discussed: products such as MongoDB, MySQL, Neo4J, Apache Kafka, Redis, Elastic Search and Hadoop/Spark, Oracle Data Hub Cloud (based on Apache Cassandra) – used locally, in containers and on the cloud. Additionally we will discuss data replication scenarios.
Big Data LDN 2018: THE THIRD REVOLUTION IN ANALYTICSMatt Stubbs
Date: 13th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Rob Davis
Organisation: MicroStrategy
About: While great strides have been made in equipping the analyst with ever smarter tools for gleaning insight from data, techniques and platforms for allowing the workforce to benefit from these insights in a timely fashion have been lacking. The third revolution in analytics will enable this wider workforce, consisting of front line workers who are not traditional users of data, to rapidly monetise insights coming from the business analyst even while their day to day actions improve the intelligence of the enterprise.
In this session, you will learn what characteristics an analytics platform must possess in order to enable the third revolution as well as see examples of how to build the organisational and cultural changes that are also necessary. A case study and common pitfalls to be avoided will be presented. Key industry trends such as AI, embedded analytics, and widening data literacy will be discussed as enablers for the third revolution in analytics.
Join Rob Davis, Vice President of Product Management for MicroStrategy, as he presents the importance of bridging this last mile of analytics to the creation of a truly Intelligent Enterprise.
Big Data Commercialization and associated IoT Platform Implications by Ramnik...Data Con LA
Abstract:- IoT Market overview and Verizon’s focus on specific IoT verticals (AgTech, Energy, Share, etc.), Criteria for evaluation of IoT data analytics opportunities, Platform considerations for big data solutions (security, network and platform connectivity, data analytics processing/storage, applications etc.), Examples of a few big data solutions at Verizon
Industry pundits are predicting up to 50 billion connected devices by 2020, generating more data than in all of human history to date and connected via ubiquitous, connectivity such as 5G, Sigfox and NBIoT. With this comes the promise of business opportunities to deploy your Internet of Things solution. Ganga will walk you through the trends in computing that you need to be aware of, how you can get started and how working with Intel can accelerate your development and time to market.
Speaker: Ganga Varatharajan, IoT & New Technologies Manager, Intel
How businesses can align data initiatives with future goals. For the event: AI, Data, and CRM: Shaping Business through Unique Experiences. For the event: AI, Data, and CRM: Shaping Business through Unique Experiences
2023 GEOINT Tutorial - Synthetic Data Tools for Computer Vision-Based AI - Re...Chris Andrews
The acquisition of labeled, unbiased, high quality remote sensing information for training AI systems is expensive, error prone, and sometimes impossible or dangerous. The efficacy of Remote Sensing and Imagery Analysis tools that use AI depends directly on the data used for training and validation, meaning that the cost and availability of data limits the application of AI for imagery exploitation. Synthetic Computer Vision (CV) data has become a strategy to reduce the cost and limitations of using real-world data in detection problems in data sparse domains. Focusing on remote sensing data including visible and invisible electromagnetic spectra, attendees will learn about the expanding options for generating synthetic data that are being used in commercial and academic domains, the technology options available for users who want to create CV content of a variety of types, and patterns of creating synthetic data to support
Learning Objectives
- Describe synthetic data including different types such as Generative AI and physics-based data
- Identify the opportunities for applying synthetic data in place of real sensor data
Will be able to describe the steps required to generate synthetic data for computer vision workflows from concept to production for training and validating AI.
- The intent of this class is to introduce the concepts and mechanisms behind the creation of synthetic data and to expose students to approaches for generating synthetic data using tools currently on the market.
- Familiarity with concepts around AI training and validation using remotely sensed data will be helpful for attendees.
Data APIs as a Foundation for Systems of EngagementVictor Olex
APIs have finally crossed over to the world of enterprise software, data analytics and application integration. Spearheaded by Amazon, propagated by internet startups and now adopted by the largest of businesses including Wall Street top firm Goldman Sachs - the APIs are here to stay. In this presentation we are linking all the facts and examine the opportunities stemming from Resource Oriented Architecture - a holistic approach to API implementation in large organizations.
Retail banks are moving beyond the data warehouse and data lake and are now implementing data fabric architectures to address data discovery and integration challenges.
These are the slides from our webinar "Modern Data Discovery and Integration in Retail Banking" in which we explore the role of the data discovery and integration layer in a data fabric with special focus on evolution from data warehouse to data fabric, semantics and graph data models in data fabric and example use cases in retail banks and B2C financial services.
Franck Cohen, chief commercial officer at SAP, discusses the impact of artificial intelligence (AI) on e-commerce. From in-store analytics to digital assistants, AI is transforming e-commerce. Since 2012, AI commerce companies have raised US$990 million across 201 deals in the United States and Canada, as well as India, France, the United Kingdom, Singapore, Israel, and others. Join us for a discussion on how retail giants and start-ups alike can benefit from using this new technology today. Learn more: https://www.hybris.com/commerce
The Machine Learning Factory: Automation of the ML Lifecycle
Speaker:
Jason Barto, AWS Solutions Architect, AWS
The lifecycle of a machine learning model, and more importantly the business insights it offers, is an iterative and ever evolving process. From feature discovery and engineering, to model training and selection, even through to production hosting and drift detection, AWS services can support and automate the events that lead to change in a customer’s model.
Join us to see a demonstration of how AWS services can be used to transform raw data into an engineered feature set that then triggers the training and evaluation of an updated model. This session will address topics such as context drift, secure hosting of trained models as a RESTful API, and automation for retraining models when data or code changes.
A Look Under the Hood of H2O Driverless AISri Ambati
Driverless AI is H2O.ai's latest flagship product for automatic machine learning. It fully automates some of the most challenging and productive tasks in applied data science such as feature engineering, model tuning, model ensembling and production deployment. Driverless AI turns Kaggle-winning grandmaster recipes into production-ready code (Java and C++), and is specifically designed to avoid common mistakes such as under- or overfitting, data leakage or improper model validation, some of the hardest challenges in data science. Other industry-leading capabilities include automatic data visualization and machine learning interpretability.
With Driverless AI, data scientists of all proficiency levels can train and deploy modeling pipelines with just a few clicks from the GUI. Advanced users can use the client API from Python or R. Driverless AI builds hundreds or thousands of models under the hood to select the best feature engineering and modeling pipeline for every specific problem such as churn prediction, fraud detection, real-estate pricing, store sales prediction, marketing ad campaigns and many more.
With Bring-Your-Own-Recipe, domain experts and advanced data scientists can now write their own recipes and seamlessly extend Driverless AI with their favorite tools from the rich ecosystem of open-source data science and machine learning libraries.
In this talk, we explain how Driverless AI works and demonstrate it with live demos.
Arno's Bio:
Arno Candel is the Chief Technology Officer at H2O.ai. He is the main committer of H2O-3 and Driverless AI and has been designing and implementing high-performance machine-learning algorithms since 2012. Previously, he spent a decade in supercomputing at ETH and SLAC and collaborated with CERN on next-generation particle accelerators.
Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich, Switzerland. He was named “2014 Big Data All-Star” by Fortune Magazine and featured by ETH GLOBE in 2015. Follow him on Twitter: @ArnoCandel.
Similar to How to make business using AI and Big Data? (20)
Бизнес Юнит: Коммерческая Недвижимость для СМБIvano Digital
Инициатива по внедрению в России успешной мировой практики - Бизнес Юниты для среднего и малого бизнеса.
Юнит - это типовая низкая застройка, преимущественно в неудобных местах – вдоль железных дорог, на полях, промзонах и т.п. Каждый юнит имеет офис, паркинг и рабочее помещение, которое может быть использовано для различных целей: склад, производство, лаборатория, магазин, студия и т.п. Данный тип недвижимости в России еще не развит. Инициатива значительно улучшит ландшафт предпринимательства в России.
A really simple explanation of Bitcoin and why everyone afraid of it.
My other FinTech presentations:
Bitcoin: http://www.slideshare.net/ishmelev/bitcoin-future
Digital bank: http://www.slideshare.net/ishmelev/digital-bank-eng
Future of bank: http://www.slideshare.net/ishmelev/bank-future
Kijiji is straggling in innovations and market acquisition. This is the growth strategy direction for the eBay Classifieds business.
How KiJiJi can Fail: http://www.slideshare.net/ishmelev/kijiji-fail
How KiJiJi can WiN: http://www.slideshare.net/ishmelev/kijiji-strategy
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
𝐓𝐉 𝐂𝐨𝐦𝐬 provides unlimited package services including such as Event organizing, Event planning, Event production, Manpower, PR marketing, Design 2D/3D, VIP protocols, Interpreter agency, etc.
Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
⭐ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
➢ 2024 BAEKHYUN [Lonsdaleite] IN HO CHI MINH
➢ SUPER JUNIOR-L.S.S. THE SHOW : Th3ee Guys in HO CHI MINH
➢FreenBecky 1st Fan Meeting in Vietnam
➢CHILDREN ART EXHIBITION 2024: BEYOND BARRIERS
➢ WOW K-Music Festival 2023
➢ Winner [CROSS] Tour in HCM
➢ Super Show 9 in HCM with Super Junior
➢ HCMC - Gyeongsangbuk-do Culture and Tourism Festival
➢ Korean Vietnam Partnership - Fair with LG
➢ Korean President visits Samsung Electronics R&D Center
➢ Vietnam Food Expo with Lotte Wellfood
"𝐄𝐯𝐞𝐫𝐲 𝐞𝐯𝐞𝐧𝐭 𝐢𝐬 𝐚 𝐬𝐭𝐨𝐫𝐲, 𝐚 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐣𝐨𝐮𝐫𝐧𝐞𝐲. 𝐖𝐞 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐫𝐭𝐥𝐲 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐚 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐨𝐮𝐫 𝐬𝐭𝐨𝐫𝐢𝐞𝐬."
Putting the SPARK into Virtual Training.pptxCynthia Clay
This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
Remote sensing and monitoring are changing the mining industry for the better. These are providing innovative solutions to long-standing challenges. Those related to exploration, extraction, and overall environmental management by mining technology companies Odisha. These technologies make use of satellite imaging, aerial photography and sensors to collect data that might be inaccessible or from hazardous locations. With the use of this technology, mining operations are becoming increasingly efficient. Let us gain more insight into the key aspects associated with remote sensing and monitoring when it comes to mining.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
Affordable Stationery Printing Services in Jaipur | Navpack n PrintNavpack & Print
Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
As a business owner in Delaware, staying on top of your tax obligations is paramount, especially with the annual deadline for Delaware Franchise Tax looming on March 1. One such obligation is the annual Delaware Franchise Tax, which serves as a crucial requirement for maintaining your company’s legal standing within the state. While the prospect of handling tax matters may seem daunting, rest assured that the process can be straightforward with the right guidance. In this comprehensive guide, we’ll walk you through the steps of filing your Delaware Franchise Tax and provide insights to help you navigate the process effectively.
Cracking the Workplace Discipline Code Main.pptxWorkforce Group
Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
Forward-thinking leaders and business managers understand the impact that discipline has on organisational success. A disciplined workforce operates with clarity, focus, and a shared understanding of expectations, ultimately driving better results, optimising productivity, and facilitating seamless collaboration.
Although discipline is not a one-size-fits-all approach, it can help create a work environment that encourages personal growth and accountability rather than solely relying on punitive measures.
In this deck, you will learn the significance of workplace discipline for organisational success. You’ll also learn
• Four (4) workplace discipline methods you should consider
• The best and most practical approach to implementing workplace discipline.
• Three (3) key tips to maintain a disciplined workplace.
Memorandum Of Association Constitution of Company.pptseri bangash
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
www.seribangash.com
Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
India Orthopedic Devices Market: Unlocking Growth Secrets, Trends and Develop...Kumar Satyam
According to TechSci Research report, “India Orthopedic Devices Market -Industry Size, Share, Trends, Competition Forecast & Opportunities, 2030”, the India Orthopedic Devices Market stood at USD 1,280.54 Million in 2024 and is anticipated to grow with a CAGR of 7.84% in the forecast period, 2026-2030F. The India Orthopedic Devices Market is being driven by several factors. The most prominent ones include an increase in the elderly population, who are more prone to orthopedic conditions such as osteoporosis and arthritis. Moreover, the rise in sports injuries and road accidents are also contributing to the demand for orthopedic devices. Advances in technology and the introduction of innovative implants and prosthetics have further propelled the market growth. Additionally, government initiatives aimed at improving healthcare infrastructure and the increasing prevalence of lifestyle diseases have led to an upward trend in orthopedic surgeries, thereby fueling the market demand for these devices.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
7. AIFUNCTIONS PREDICTION OPERATION
ANALYZE INPUTS
TO ESTIMATE
ALL POSSIBLE
OUTCOMES
CONTROL AND
MANIPULATE
MACHINES OR
OBJECTS
SOLVING PLANNING
SELECT THE
BEST OPTIONS
OR THROUGH
THE REASONING
SETUP GOALS
AND ACHIEVE
THEM IN MOST
EFFECTIVE WAY
8. BUSINESS
ACCURATE INSIGHT
ADVANCED PLANNING
REDUCED COST
ZERO RISKS
PERSONAL
SMART ADVISER
CONTROLLED HEALTH
PERSONALIZED SERVICES
EASY LIFE
SOCIETY
FAIR REGULATION
SAFE CITIES
OPEN KNOWLEDGE
HEALTHY ENVIRONMENT
NEWVALUE
9. ROBOTS CONTROL
DRIVE, BUILD
AND OPERATE
ALMOST EVERY
PHYSICAL WORK
EVERYTHING
RECORDED,
ANALYZED
AND MANAGED
SCIENCE TECHNOCRACY
IMPROVED
SOCIETY,
HEALTH AND
ENVIRONMENT
PLANET RULED
BY SCIENTISTS,
DESIGNERS AND
TECH GEEKS
FUTURESOON
10. SMALL
EFFECTIVE ONLY IF DATA
COMPLETE, ACCURATE AND
CORRECTLY PROCESSED
LIMITED
AI BASED ON ASSUMPTIONS
AND PERSONAL DEFINITION
OF PROBLEM OR SOLUTION
EXPENSIVE
COSTLY AND COMPLICATED
WITH NO VITAL AFFECT ON
BUSINESS OR PERSONAL LIFE
NOT
TODAY
11. FEAR
REVEALS EVERY ACTION
AND AUTOMATES MOST
JOBS OR PROCESSES
POWER
CRASHES ECONOMY
SYSTEM WITH NO ANY
ALTERNATIVE AVAILABLE
ECOSYSTEM
REQUIRES COLLABORATION
AND SCIENTIFIC APPROACH
BETWEEN ALL STAKEHOLDERS
AI
BARRIERS
13. IVANO
Ph.D., MBA
EXPERTISE
• DIGITAL STRATEGY
• PRODUCTS DEVELOPMENT
• BUSINESS-ANALYSIS
COMPETENCIES
R&D, AI, AGILE, M&A, KPIs,
MODELS AND MONETIZATION
PARTNERSHIP
strivanlab@gmail.com • HEAD OF PRODUCT
• CONSULTING OR COACH
• MENTOR OR COFOUNDER
• SPEAKER OR LECTURER
Ishmelev
DIGITAL BUSINESS
18. OPEN LOST
• DATA STRATEGIST
• PRODUCT DESIGNER
• DATA SCIENTIST
• DATA TRADER
• PROCESS ARCHITECT
• AI PROGRAMMER
• ROBOT OPERATOR
• CASE ANALYST
• MARKETING, SALES
• FINANCE, TAXES
• RECRUITING
• DRIVER, PILOTS
• REAL ESTATE
• MANUFACTURE
• SECURITY
DATA JOB
19. TRUE OR FALSE
• BIG DATA = ALL DATA
• DATA IS RESOURCE, NOT A SERVICE
• DATA REQUIRES GLOBAL INFRASTRUCTURE
• AI IS MORE ABOUT PRODUCT, THEN MATH
• TECHNOLOGY IS TOO EARLY TO BE EFFECTIVE
• ECONOMY IS NOT READY FOR AI
• SHORTAGE OF DATA STRATEGISTS
20. INTERNET OF THINGS (IoT) RECOGNITION GRID
DARK DATA ARTIFICIAL INTELLIGENCE (AI) GRAPH
API COMPUTING MACHINE LEARNING (ML) INDEX
PROCESSING OSR DATA SELF-SERVICE CLOUD DAS
PREDICTION VISUALIZATION ANALYSIS TRACKING
SINGULARITY CHIEF DATA OFFICER BIG MEMORY
PROFILE INSIGHT BACKUP ZOOKEEPER MODELING
TAGS DATIFICATION NLP ALGORITHM METADATA
DATA SCIENCE PYTHON PCA DATA PROVIDER WEB
BLOCKCHAIN CLUSTER HBASE MAHAOUT FACTOR
NEURAL DATA LAKE COMPUTER VISION FILE HDFS
PATTERNS SERVERS INPUT COGNITIVE REASONING
KAFKA STORM MAPPING PERCEPTION SEMANTIC
AUTHENTICATION STREAM AMBARI LINEAGE OOZI
PIG MULTILAYER ARCHITECTURE TDA DREMEL A/B
EXABYTE GREMLIN SAMPLING LOG PREGEL SCRIPT
NETWORK RFID YARN R DEEP LEARNING CASCADE
HADOOP SMART DATA MAPREDUCE DASHBOARD
HYPERTABLE FLUME SQOOP GROUP DATA LUCENE
RAJAK REDIS MONGO HIVE IMPALA DRILL GIRAPH
DATA OWNERSHIP PLATFORM CONTENT SOLR CODE