Consumers will increasingly expect retailers to offer highly customized buying recommendations at the right time through the right device.
Being able to follow these through with seamless and secure e-commerce transactions.
The potential of Data blending in every area from automotive telemetry to medical science to national security is enormous.
Annual Big Data Landscape prepared by FIrstMark. Check out full blog post: "Is Big Data Still a Thing"? at http://mattturck.com/2016/02/01/big-data-landscape/
Big Data, Big Deal? (A Big Data 101 presentation)Matt Turck
Background: I prepared this slide deck for a couple of “Big Data 101” guest lectures I did in February 2013 at New York University’s Stern School of Business and at The New School. They’re intended for a college level, non technical audience, as a first exposure to Big Data and related concepts. I have re-used a number of stats, graphics, cartoons and other materials freely available on the internet. Thanks to the authors of those materials.
TOP 5 TRENDS IN BIG DATA & ANALYTICS 2015 was an interesting one in the area of big data and analytics. What used to be buzz words in conference and talk shows became the norm as more companies realized that data, in all forms and sizes, is critical.
2015 was an interesting one in the area of big data and analytics. What used to be buzz words in conference and talk shows became the norm as more companies realized that data, in all forms and sizes, is critical to making the best business decisions.
Data is like the new currency, and myriad technologies revolves around the idea of putting Big Data into work, while enhancing the levels of ROI. Gear up to witness a humongous growth of data in the 2017, both in respect to variety and volume.
Annual Big Data Landscape prepared by FIrstMark. Check out full blog post: "Is Big Data Still a Thing"? at http://mattturck.com/2016/02/01/big-data-landscape/
Big Data, Big Deal? (A Big Data 101 presentation)Matt Turck
Background: I prepared this slide deck for a couple of “Big Data 101” guest lectures I did in February 2013 at New York University’s Stern School of Business and at The New School. They’re intended for a college level, non technical audience, as a first exposure to Big Data and related concepts. I have re-used a number of stats, graphics, cartoons and other materials freely available on the internet. Thanks to the authors of those materials.
TOP 5 TRENDS IN BIG DATA & ANALYTICS 2015 was an interesting one in the area of big data and analytics. What used to be buzz words in conference and talk shows became the norm as more companies realized that data, in all forms and sizes, is critical.
2015 was an interesting one in the area of big data and analytics. What used to be buzz words in conference and talk shows became the norm as more companies realized that data, in all forms and sizes, is critical to making the best business decisions.
Data is like the new currency, and myriad technologies revolves around the idea of putting Big Data into work, while enhancing the levels of ROI. Gear up to witness a humongous growth of data in the 2017, both in respect to variety and volume.
Big data analytics use cases: all you need to knowJane Brewer
In order to take the next big leap in terms of technological advancement, we need data. Next-generation emerging technologies and inventions have piggybacked on top of big data, achieving maximum success. Here are Amazing Big Data Use Cases You Must Know!
Presentation: Study: #Big Data in #Austria, Mario Meir-Huber, Big Data Leader Eastern Europe, Teradata GmbH & Martin Köhler, Austrian Institute of Technology, AIT (AT), at the European Data Economy Workshop taking place back to back to SEMANTiCS2015 on 15 September 2015 in Vienna.
In their webinar "Big Data Fabric 2.0 Drives Data Democratization" Ben Szekley, Cambridge Semantics’ SVP of Field Operations, and guest speaker, Forrester’s Noel Yuhanna, author of the Forrester report: “Big Data Fabric 2.0 Drives Data Democratization”, explored why data-driven businesses are making a big data fabric part of their data strategy to minimize data complexity, integrate siloed data, deliver real-time trusted insights, and to create new business opportunities. These are the slides from that webinar.
1.Introduction
2.Overview
3.Why Big Data
4.Application of Big Data
5.Risks of Big Data
6.Benefits & Impact of Big Data
7.Conclusion
‘Big Data’ is similar to ‘small data’, but bigger in size
But having data bigger it requires different approaches:
Techniques, tools and architecture
An aim to solve new problems or old problems in a better
way
Big Data generates value from the storage and processing
of very large quantities of digital information that cannot be
analyzed with traditional computing techniques.
As we begin to dive deeper into the connected world, there has been an explosion of structured and unstructured data. Additionally, advancements in Apache Hadoop and other Big Data technologies, cloud computing and machine learning tools all play into how this world will evolve. Over the last ten years, Apache Hadoop has proven to be a popular platform among seasoned developers who require a technology that can power large, complex applications. However, for customers, partners and application ISVs who write on-top of Hadoop, there is still one huge issue that remains; Interoperability. In this talk, john Mertic will take a closer look at how Apache Hadoop can become more interoperable to accelerate big data implementations.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analyzed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Big data analytics use cases: all you need to knowJane Brewer
In order to take the next big leap in terms of technological advancement, we need data. Next-generation emerging technologies and inventions have piggybacked on top of big data, achieving maximum success. Here are Amazing Big Data Use Cases You Must Know!
Presentation: Study: #Big Data in #Austria, Mario Meir-Huber, Big Data Leader Eastern Europe, Teradata GmbH & Martin Köhler, Austrian Institute of Technology, AIT (AT), at the European Data Economy Workshop taking place back to back to SEMANTiCS2015 on 15 September 2015 in Vienna.
In their webinar "Big Data Fabric 2.0 Drives Data Democratization" Ben Szekley, Cambridge Semantics’ SVP of Field Operations, and guest speaker, Forrester’s Noel Yuhanna, author of the Forrester report: “Big Data Fabric 2.0 Drives Data Democratization”, explored why data-driven businesses are making a big data fabric part of their data strategy to minimize data complexity, integrate siloed data, deliver real-time trusted insights, and to create new business opportunities. These are the slides from that webinar.
1.Introduction
2.Overview
3.Why Big Data
4.Application of Big Data
5.Risks of Big Data
6.Benefits & Impact of Big Data
7.Conclusion
‘Big Data’ is similar to ‘small data’, but bigger in size
But having data bigger it requires different approaches:
Techniques, tools and architecture
An aim to solve new problems or old problems in a better
way
Big Data generates value from the storage and processing
of very large quantities of digital information that cannot be
analyzed with traditional computing techniques.
As we begin to dive deeper into the connected world, there has been an explosion of structured and unstructured data. Additionally, advancements in Apache Hadoop and other Big Data technologies, cloud computing and machine learning tools all play into how this world will evolve. Over the last ten years, Apache Hadoop has proven to be a popular platform among seasoned developers who require a technology that can power large, complex applications. However, for customers, partners and application ISVs who write on-top of Hadoop, there is still one huge issue that remains; Interoperability. In this talk, john Mertic will take a closer look at how Apache Hadoop can become more interoperable to accelerate big data implementations.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analyzed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
“Thank Bunny” is a business tool that empowers retailers to execute their customer engagement activities effortlessly and auto-magically. Simply said, it helps a business to retain customers and increase sales with proven game-mechanics.
The Cloud topic is everywhere, not only for big software companies, but also for our customers and of course for all service providers.
How to move from the traditional IT to a full Cloud environment and how to manage the transition phase?
We show you the Trivadis Cloud transition approach, standardized and proven, which leads you into a safe and optimized usage of cloud services in your daily business.
It’s all about Data - a Trivadis core competence for decades - no matter which deployment model we choose.
In this presentation we shed light on various Cloud strategies and concrete technologically aspects.
Building a New Platform for Customer Analytics Caserta
Caserta Concepts and Databricks partner up to bring you this insightful webinar on how a business can choose from all of the emerging big data technologies to figure out which one best fits their needs.
Joe Caserta was a featured speaker, along with MIT Sloan School faculty and other industry thought-leaders. His session 'You're the New CDO, Now What?' discussed how new CDOs can accomplish their strategic objectives and overcome tactical challenges in this emerging executive leadership role.
In its tenth year, the MIT CDOIQ Symposium 2016 continues to explore the developing role of the Chief Data Officer.
For more information, visit http://casertaconcepts.com/
Organizations hugely rely on their customer sentiments to make business related decisions. Net Promoter Score is a reliable metric to understand customer satisfaction.This infographic highlights some points to remember to make the most out of the process.
Discusses the algebraic properties of types, different kinds of functions and the information that is preserved or lost, and Category Theory concepts that underpin and unify them.
Architecting for change: LinkedIn's new data ecosystemYael Garten
2016 StrataHadoop NYC conference talk.
http://conferences.oreilly.com/strata/hadoop-big-data-ny/public/schedule/detail/52182
Abstract:
Last year, LinkedIn embarked on an ambitious mission to completely revamp the mobile experience for its members. This would mean a completely new mobile application, reimagined user experiences, and new interaction concepts. As the team evaluated the impact of this big rewrite on the data analytics ecosystem, they observed a few problems.
Over the past few years, LinkedIn has become extremely good at incrementally changing the site one mini-feature at a time, often in conjunction with hundreds of other incremental changes. LinkedIn’s experimentation platform ensures that it is always monitoring a wide gamut of impacted metrics with every change before rolling fully forward. However, when it comes to rolling out a big change like this, different challenges crop up. You have to rollout the entire application all at once; the new experience means that you have no baseline on new metrics; and existing metrics may see double digit changes just because of the new experience or because the metric’s logic is no longer accurate—the challenge is in figuring out which is which.
Shirshanka Das and Yael Garten describe how LinkedIn redesigned its data analytics ecosystem in the face of a significant product rewrite, covering the infrastructure changes that enable LinkedIn to roll out future product innovations with minimal downstream impact. Shirshanka and Yael explore the motivations and the building blocks for this reimagined data analytics ecosystem, the technical details of LinkedIn’s new client-side tracking infrastructure, its unified reporting platform, and its data virtualization layer on top of Hadoop and share lessons learned from data producers and consumers that are participating in this governance model. Along the way, they offer some anecdotal evidence during the rollout that validated some of their decisions and are also shaping the future roadmap of these efforts.
Big Data Ecosystem - 1000 Simulated DronesEspeo Software
A description of a complete Big Data ecosystem that can be used for operations on huge collections of data - even up to gigabytes of data per second, and a few hundred thousand customers connected in the same moment. The ecosystem can be upgraded with additional Apache tools: Apache Flume, Ambari, Mesos, Yarn.
Today, companies are using various channels to communicate with their customers. As a consequence, a lot of data is created, more and more also outside of the traditional IT infrastructure of an enterprise. This data often does not have a common format and they are continuously created with ever increasing volume. With Internet of Things (IoT) and their sensors, the volume as well as the velocity of data just gets more extreme.
To achieve a complete and consistent view of a customer, all these customer-related information has to be included in a 360 degree view in a real-time or near-real-time fashion. By that, the Customer Hub will become the Customer Event Hub. It constantly shows the actual view of a customer over all his interaction channels and provides an enterprise the basis for a substantial and effective customer relation.
In this presentation the value of such a platform is shown and how it can be implemented.
How to build an effective omni-channel CRM & Marketing Strategy & 360 custome...Comarch
How to tackle current market trends regarding CRM & Loyalty strategies? How to be relevant, make a difference, synchronize marketing channels and profile customers. Demo screens of Comarch CRM & Marketing platform and introduction to the Loyalty 3.0 approach. How to engage and retain customers these days?
Building New Data Ecosystem for Customer Analytics, Strata + Hadoop World, 2016Caserta
Caserta Concepts Founder and President, Joe Caserta, gave this presentation at Strata + Hadoop World 2016 in New York, NY. His session covers path-to-purchase analytics using a data lake and spark.
For more information, visit http://casertaconcepts.com/
Customer Event Hub - the modern Customer 360° viewGuido Schmutz
Today, companies are using various channels to communicate with their customers. As a consequence, a lot of data is created, more and more also outside of the traditional IT infrastructure of an enterprise. This data often does not have a common format and they are continuously created with ever increasing volume. With Internet of Things (IoT) and their sensors, the volume as well as the velocity of data just gets more extreme.
To achieve a complete and consistent view of a customer, all these customer-related information has to be included in a 360 degree view in a real-time or near-real-time fashion. By that, the Customer Hub will become the Customer Event Hub. It constantly shows the actual view of a customer over all his interaction channels and provides an enterprise the basis for a substantial and effective customer relation.
In this presentation the value of such a platform is shown and how it can be implemented.
Albiorix Technology brings the top 10 digital transformation trends to watch out for in 2023 that you can adopt to improve your business performance.
For More Information: https://www.albiorixtech.com/blog/digital-transformation-trends/
Revolution in Business Analytics-Zika Virus ExampleBardess Group
Even from the “man in the street” perspective, there is a sense that we are living in an increasingly algorithmic world. Self-driving cars, pizza delivery by drone, and smart houses are commonplace. The technologies enabling this revolution are both simultaneously mature and evolving rapidly.
In this session, we’ll took a look at a real world problem, the recent global outbreak of the ZIka virus, and used data analytics technologies to gain valuable insights that can assist authorities and the general public to understand and potentially prevent the spread of this disease.
Bardess Group, a sponsor of the event and business analytics consulting firm, will demonstrate how huge, extremely jagged data from a variety of sources can be collected and prepared and rapidly made available for analysis. Advanced machine learning and predictive analysis further enhance the value of those insights.
Finally, Bardess will make the case that using a systematic approach to conceptually visualize the strategic journey to insightful business analytics, the analytics value chain, can assist any organization prepare for this revolution in analytics.
Also see http://cloudera.qlik.com for the demos.
Data Analytics has become a powerful tool to drive corporates and businesses. check out this 6 Reasons to Use Data Analytics. Visit: https://www.raybiztech.com/blog/data-analytics/6-reasons-to-use-data-analytics
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...Denodo
This content was presented during the Smart Data Summit Dubai 2015 in the UAE on May 25, 2015, by Jesus Barrasa, Senior Solutions Architect at Denodo Technologies.
In the era of Big Data, IoT, Cloud and Social Media, Information Architects are forced to rethink how to tackle data management and integration in the enterprise. Traditional approaches based on data replication and rigid information models lack the flexibility to deal with this new hybrid reality. New data sources and an increasing variety of consuming applications, like mobile apps and SaaS, add more complexity to the problem of delivering the right data, in the right format, and at the right time to the business. Data Virtualization emerges in this new scenario as the key enabler of agile, maintainable and future-proof data architectures.
Dr Christoph Nieuwoudt- AI in Financial Servicesitnewsafrica
Dr. Christoff Nieuwoudt delivered a keynote on AI in Financial Services at Digital Finance Africa 2023 on the 2nd of August 2023 at Gallagher Convention Centre, Johannesburg, Midrand.
IABE Big Data information paper - An actuarial perspectiveMateusz Maj
We look closely on the insurance value chain and assess the impact of Big Data on underwriting, pricing and claims reserving. We examine the ethics of Big Data including data privacy, customer identification, data ownership and the legal aspects. We also discuss new frontiers for insurance and its impact on the actuarial profession. Will actuaries will be able to leverage Big Data, create sophisticated risk models and more personalized insurance offers, and bring new wave of innovation to the market?
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.
Modernizing Architecture for a Complete Data StrategyCloudera, Inc.
Data is the future of business. Either take advantage of it, or get surpassed by those who do.
In this webinar, Ovum's Tony Baer discusses the importance of building a modern data strategy that ensures your journey with Apache Hadoop and big data is a successful one. Together, we'll walk through how to build a plan for long-term success while realizing short-term gains, including:
How to pinpoint the business goals that matter most
How to assess your strengths and weaknesses to meet those goals
How to build a thoughtful approach that ensures your initiatives succeed
Activating Big Data: The Key To Success with Machine Learning Advanced Analyt...Vasu S
A whitepaper of Qubole that How to make all of your data available to users for a multitude of use cases, ranging from analytics to machine learning and artificial intelligence.
https://www.qubole.com/resources/white-papers/activating-big-data-the-key-to-success-with-machine-learning-advanced-analytics
Större behov för att effektivt rekrytera
företag och arbetssökande.
Vad menar jag med denna titel? Rekrytera företag hörs ju inte speciellt logiskt ut när vi läser dagligen att företag stänger dörrarna och arbetstagare måste lämna arbetsplatsen, antigen temporärt eller permanent. Det är tyvärr i dessa tider också företag och offentlig verksamhet som sliter med att få den hjälp som dem behöver. Vi har en utmaning, att vi inte klarar matcha arbetslösa med arbetsbehov i nuläget och nära framtid.
Det är ett skriande behov av arbetskraft i kommunerna och regionerna i Sverige i dagsläget.
Behov finns redan
Det finns redan och kommer att finns behov för många tillfälliga jobb i kommuner och regioner när den ordinarie personalen behöver avlastning eller blir sjukskriven. Vi har inte nått kulmen i Corona pandemin, så situationen väntas bli värre.
Kommer coronavirus att störa din jobbsökning?
Arbetssökning är stressande även under de bästa omständigheterna. Den pågående osäkerheten relaterad till coronavirus-pandemin kan göra att utsikterna för att leta efter arbete känns nästan hopplösa, men jobbexperter säger att du borde ge upp.
Ge barnen i Ukraina och Sverige livslånga minnen genom att dela erfarenheter inom kultur och hockey med varandra genom att möts inom hockey.
Genom spelet och vänskap lär barn sig livslektioner som kommer att fortsätta i alla utmaningar nu och senare i livet.
Fritid en essentiell del av flerårsplan 2019-2021 till Falköping kommun. Samverkan och hållbarhet är ord som återkommer rätt så frekventa i denna plan och verkar ha kopplingar till alla verksamhetsområden och planer som dessa har. Alla prioriterade målområden inom flerårsplanen har element som Fritid kan agera inom och ta sin del av utvecklingen och uppfyllande av dessa målbilden.
Trendanalys för att se hur stor intresse det är för Hockeylag inom SHL. En startpunkt för vidare analys som kan vara med att förstärka klubbarnas profil i marknaden och därvid samarbetspartners varumärke. Den sociala profil till klubbarna börjar bli mer och mer viktigt för lagen. Samhällsansvar och deltagande i samhället inom olika områden reflekteras igenom hur klubbarnas namn kändes igen i marknaden och hos folk flest. Det finns många möjligheter, och i denna presentationen har vi gjord ett enkelt försök för att visa att klubbarna är exponerat olika i marknaden under 2017.
En kundresa i det svenska informationssamhället i 2017 baserad på ISS rapporten som heter "Svenskarna och internet 2017". Arbetslöshet och utbildningsnivå spelar en roll i hur många som använder internet, och hur dem använder detta. Det blir allt mer viktig att förstå människors beteende på nätet, speciellt för dem som vill digitalisera sina tjänster och produkt och erbjuda dessa till det svenska samhällets invånare. Allt fler är uppkopplade till internet hemma eller på mobila enheter. Allt fler känner att dem inte tar del i utvecklingen, och det är utbildningsnivå och status i samhället som i stor grad är faktorer till skillnad i använding och hur internet används. Inte minst är det viktigt för hur människor kan påverkas av information igenom att dem har olika trösklar för källkritik.
Vi har kunder med stark digital definition makt, som utmanar föråldrade affärsmodeller och ledningsmetoder. Behov för beteendekunskap och övertygande teknologi och metoder har blivit större en någon gång. Frågan är, vart börjar du, och är det redan för sent? Vad behövs för att lyckas i den nya generation med kunder som redan är här, och som kommer dem nästa 5-15 åren?
Mining industry has developed through various cyvles dependant upon industry conditions. During tougher economic periods the industry has tendency looking for ways to make mining more efficiient and less risk associated with its activities. Exploration activity has always been a long term activity with a timespand oc decades instead of years or even months which the normal operations operate under. This require this part of mining industry to become more innovative and create more accurate prognosis for its discoveries.
Rätt kombination av konstig intelligens på datorn och rätta metoder och teknik kan ge oss en bättre chans att matcha dem som står långt i från arbetsmarknaden. Det är en utmanande uppgift som vi har redan i dag, och som blir större för varje dag som går. Datorn blir smartare igenom programvara och kapacitet, och på samma tid har vi algoritmer som inte fanns bara för 5-10 år sedan som kan vara till hjälp. Företag behöver arbetskraft och tudelningen av arbetsmarknaden har aldrig varit större en i dag, och något måste görs. Jag föreslår en programvara som jag kallar Matchning Arbetssökande Långt Från Arbetsmarknaden - MALFA. Et program som använder tekniker och metoder i samverkan med datorns kraft och algoritm hantering, och som ger oss möjlighet att se vilka möjligheter personer som till exempel har funktionshinder kan hitta en arbetsgivare som vill ha god nytta av denna resursen.
Reaching new frontiers within seismic interpretation and analysis by utilizing deep learning computer vision technology.
VAP4U has worked for a long period how to utilize this technology on normal standard seismic data (SEG/Y or other vendor formats) and propose how to use it through the software s AI s.
Convolutional Neural Networks (CNN) and other machine learning algorithms and methods enables us to make the computer to identify and learn to identify more features in the seismic data than previously done.
Training the computer with the help of some initial input which is done once. Then let the algorithms within limitations and boundaries set by the experts do its work identifying features of interest within the data. Looking for playmodels, lead types or prospects, then let the computer take the grunt of the workload and spend time on more important analysis such as risk and ranking of plays.
Searching the all-time growing amount of global data and research results and retrieving only the relevant and up-to date information becomes more and more challenging. The amount of data including the big data issue in the IoT world makes it even more challenging. How can an employee keeping himself up to date and include the relevant information into his work and ensure his work includes the most relevant and latest information. Most search engines today provide some sort of semantic based answers to the queries you enter into the system. However, most search engines do not know you well enough to provide you with the best answers based on who you are, and what you really want for an answer. Here is today's challenge combined with the growing amount of data and media you find it in. The answer might be closer than you think.
En typ av arbetssökande är den vi kallar för den passiva arbetssökande. Nu är frågan - vem kan tillåta sig att vara passiv, sökaren eller företaget? Svaret är kanske bara sökaren, medan företaget inte kan tillåta sig att vara passiv i rekryteringsarbetet, eller sökandet efter resurser till arbetsplatsen sin.
Vem är den passiva arbetssökande och hur agerar den i dagens och framtidens arbetsmarknad? Denna frågan är kanske den viktigaste och vi försöker att ge våran kommentar i detta bildspelet.
Matchning i arbetsmarknaden har allt blivit hårdare sedan det är svårt för företag att hitta personer med rätt kompetens och större andel av arbetssökare står långt från arbetsmarknaden av olika orsaker. Användning av teknologi som stöd i matchningen har varit gjord dem senaste 10 åren av olika aktörer med olika resultat och bredd. I detta bildspelet försöker jag göra redo för olika algoritmer och metoder som om dem blir integrerad på rätt sätt och använd på rätt sätt, ge båda den arbetssökande och inte minst företagaren mycket större chans att matcha behöv för båda med större grad av succés en man gör i dag.
Det visar sig att arbetsmarknaden sliter med att få parter till att hitta varandra, eller som man säger - matcha med varandra.
Företagen söker personal, medan arbetssökaren söker jobb, men trots detta, så hittar dem inte varandra. Det är många orsaker till att vi har denna situationen, som bland annat saknar rätt kompetens till rätt tid och plats. Andra faktorer kan vara att jobbsökaren inte hittar rätt jobb sedan den inte är lätt att hitta helt enkelt. En platsannons i dag är kanske inte god nog, eller förklarar egentligen inte vad företaget behöver, och jobbsökaren är kanske inte bra nog på att berätta vad den kan eller vill. Jobbsökandet kommer att bli ett av dem viktigaste sökmotorer som vi behöver i framtiden, som redan är här nu!
Rätt jobb vid rätt tidpunkt - så kallad matchning av arbetskraft och behov inom arbetsmarknaden. En utmaning som alltid har varit svår att komma över. Men, nu börjar utvecklingen av verktyg och metoder ta fart och Google har kommit med sin ATS lösning som i form av Google Jobs API ser ut till att vara en lovande teknologi till användning inom matchning av arbetssökande och företagen.
Arbetsförmedling på den svenska marknaden har utmaningar som kanske är unika i världssammanhang.
Stor andel av arbetskraft står långt från arbetsmarknaden, sociala systemet i sverige är unikt och skapar en marknadsfaktor som inte många andra land har inom arbetsmarknaden. Försök på att jämnföra sverige med andra lands arbetsmarknad kan vara mycket svårt och många gånger leda till fel slutsats av vad som behövs eller inte, och vem som borde göra vad.
Frågan som borde ställs är hellre, vad måste görs för att få till en bättre matchning och därvid lägre arbetslöshet speciellt bland dem som är lågutbildade och har ett funktionshinder?
Teknologi har många gånger varit svaret och det industriella samhället fick stor påverkan i arbetsmarknaden, och introduktionen av informations åldern har lett till nya ändringar i arbetsmarknaden som ger oss nya utmaningar på flera fronter.
Införande av konstig intelligens på datorn och användning av kognitiv teknologi blandad med avancerad matematik på stadigt kraftigare datorer ger oss möjligheter som aldrig förut.
Det är nu på tiden att se hur vi kan använda verktygen och metoder som vi har i dag, och som vi inte ens hade för 10 år sen, till att skapa ett paradigm byte inom rekrytering och förmedling av arbete.
Grundvatten av god kvalitet är viktigt för många i regionen, småhushåll, industri, jordbruk, gårdsbruk och liknande.
I och med införandet av nationella miljökvalitetsmål har grundvattnets roll i samhällsplaneringen lyfts fram.
Det finns ett miljökvalitetetsmål med ett fokus på att skydda grundvattnet, dels som en del i vattnets kretslopp, dels som resurs inom den nutida och kommande vattenförsörjningen.
Västra Götalands län har omväxlande geologiska förhållanden. Grundvattentillgångar i jord av betydelse återfinns oftast i större grusavlagringar. Inom stora delar av länet är grusavlagringar sparsamt förekommande. Det är därför väsentligt att dessa avlagringar sparas och skyddas för att kunna användas för grundvattenuttag. I berggrunden finns större grundvattentillgångar endast i den sedimentära berggrunden i delar av centrala Västergötland.
En rad myndigheter och andra organisationer kommer att vara viktiga aktörer. Det är viktigt att också allmänheten och näringslivet tar en aktiv del i arbetet.
Det är nödvändigt att tidigt i arbetet med miljökvalitetsmålen hitta bra arbetsformer, speciellt i ett stort län som Västra Götaland, vilket består av 49 kommuner. För att veta vilka åtgärder som skall sättas in, måste viss grundläggande kunskap sammanställas, främst från kommunerna.
Matcha jobbsökaren till rätta jobbet är alfa och omega för en fungerande arbetsmarknad.
Attrahera personer till att arbeta hos företagen och optimera hur dem kommer i kontakt med personer som kan vara av intresse för dem.
Skapa nya möjligheter för att behålla talanger inom företaget.
Den sökande måste alltid vara i fokus och ses på som en konsument på lik linje med internet användare på en bank, resebyrå eller en som vill hyra en bil eller stuga.
Företag startar sin affär med jobb sök så rekryteringsverktyget måste vara effektivt för företaget som söker talanger.
Vi måste skapa en bättra jobb sök upplevelse både för företag och jobb sökare.
Anställningen är den viktigaste uppgift som företaget gör!
Ett problem som rekryterare och jobb sökare är alltför bekanta med:
Dåligt skrivna jobb beskrivningar som gör lite för att rikta rätt talang till rätt öppna positioner.
För att göra det ännu värre är många resymé är på samma sätt icke informativa, vilket gör det lika utmanande för arbetsgivarna att hitta rätt kandidater genom enkla sökord.
Google gör någonting med denna dubbelriktade röra.
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RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
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.
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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.
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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.
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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.
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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
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
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.
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A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
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Explore the world of the Taurus zodiac sign. Learn about their stability, determination, and appreciation for beauty. Discover how Taureans' grounded nature and hardworking mindset define their unique personality.
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/
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.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
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Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
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3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
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1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
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3. 2010
Just getting started with Hadoop
2015
The Hadoop ecosystem dominated big data market.
We focused on ‘putting big data to work’ through use cases shown to generate ROI from increased
revenue and productivity and lower risk.
2016
Big data continues beyond this ‘domain’ and more mainstream companies adopting Big Data and
Internet of Things (IoT) with traditionally conservative and skeptic organizations starting to take the
plunge.
Big data will be put to work and blending of data will be bigger and more important Increasingly sophisticated
demands means the pressure to innovate here will remain high in 2016.
2025
IoT will create anywhere from $3.9 trillion to $11.1 trillion in economic value.
more about these six emerging big data trends.
4. 2016, the year Big Data will be put to Work
Consumers will increasingly expect retailers to offer highly customized buying recommendations at the
right time through the right device.
Being able to follow these through with seamless and secure e-commerce transactions.
The potential of Data blending in every area from automotive telemetry to medical science to national
security is enormous.
5. Internet of Things Is Getting Real!
Predictive Maintenance, Smart Cities and Smart Homes. Large industrial companies that make,
move, sell and support physical things are plugging sensors attached to their ‘things’ into the internet.
A myriad of new challenges and opportunities for instance in the areas of data governance,
standards, health and safety, security and supply chain.
Companies must start planning now or risk being left behind.
6. Embed and Deliver Analytics at the Point of
Impact
Analytics is the top strategic enabler to grow the company’s revenue and productivity and cut costs.
The next generation of analytics is where business users consume analytics through familiar, day-to-
day business applications will be mission-critical.
The classic BI model of a data analyst using a tool outside the application flow to analyze historical data
will become somewhat helpful, but obsolete.
Analytics
7. High Volume Data Integrators enables tools
to be ready
Spark, Docker, Kafka, Lucene, Solr and other emerging open source tools designed to enable large-
scale, high-volume analytics on petabytes of data are moving from the explorative to the applicable
phase.
These tools are critical to driving faster innovation and are becoming more mature as we speak.
Being in the lead with open source innovation and being able to incorporating these and other exciting
technologies into platforms while ensuring these technologies are hardened for use by customers.
Integration platforms are the future.
8. Cloud Is Emerging as
a Preferred Deployment Model for Big Data
Many have either deployed their big data applications in the cloud, or are planning to do so.
This includes businesses operating in highly secure environment, handling and looking for anomalies in
billions of transactions every day.
Companies want the option to deploy big data applications either behind the firewall, 100 percent in the cloud
or a hybrid, private/ public cloud environment.
Use of f.inst. Amazon Web Service (AWS) capability supporting customers as they look to the optimize
deployment models across workloads and user cases.
9. Cognitive Technology enables better
User Experience
Main focus in the big data analytics ecosystem will be on User experience.
This goes beyond cloud, being able to build better user experiences for streaming and predictive analytics.
Integrating new, secure technologies such as facial recognition to reassure users that their data is safe and
trustworthy. Real-time speed is also a key part of the user experience. Existing distributed Big Data
processing platforms are still too hard, and vendors need to invest in making the experience easier.
The easier we all make it, the more use cases we unlock for the companies and their business cases.
10. • Data Integration and Business Analytics
• Accelerate the Time to Big Data Value
• Completely embeddable and deliver governed data to power any analytics in any environment
• Harness the value from all company data, including big data and IoT, enable companies to find new
revenue streams
• Operate more efficiently, deliver outstanding service and minimize risk
• Create a better User Experience
11. Stig-Arne Kristoffersen is a Corporate exec with substantial corporate experience.
Stig-Arne provide preemptive support in German or English, with basic skill set in Russian.
Kristoffersen focus on Knowledge Based Information processes and systems within various
industries, contract drafting, asset negotiations within real estate and energy sectors.
Stig Arne has a broad experience in all aspects of Geo-science. He has direct experience
with energy business, technical consulting and venture capital.
Stig has extensive experience in play development and prospect generation in various basins globally.
Stig Arne has performed a large variation of risk assessment as part of prospect maturation with Hi-end tools from
various vendors including Tibco, SAS, Hadoop, Schlumberger, Landmark and SMT.
Stig Arne has participated in multiple projects with efficient Exploration and Production of oil and gas resources,
and experience in making quick turnaround from resource to reserves. Utilizing acceptable international renown
techniques to achieve the goal of the projects.
Stig Arne Kristoffersen has experience in farm-in and -out negotiations, asset management, strategy decisions
within oil and gas as well as information technology matters. Hands on experience in asset evaluation as well as
exploration strategy and portfolio management.
AUTHOR