Atomic Swap: Presented by Decred and Zebpay

Decred is a community-directed digital currency designed to be a superior store of value for generations to come. Its hybrid PoW+PoS consensus …

Ditto PR and The Block are delighted to host “Atomic Swap” on Wednesday, May 15 in NYC during NYC Blockchain Week. In the words of Ditto PR founder Trey Ditto: “Speculative investments? Yawn. Crypto as a transformative technology? Been there, done that. Join @DittoPA and @TheBlock__ at #AtomicSwapNYC to be part of a new conversation on blockchain and crypto as a social and political movement.”

We are thrilled that a unique group of leading companies, projects and people will be sharing insights on crypto through a very different lens than every other conference.

Atomic Swap is possible due to the generous support of Decred and Zebpay, two projects that have been terrific partners to Ditto PR in preparation for the event. Through their support, Atomic Swap has been able to attract an audience of 200 leaders from the crypto ecosystem who will challenge and engage with the ideas throughout the day.

Decred is a community-directed digital currency designed to be a superior store of value for generations to come. Its hybrid PoW+PoS consensus mechanism, transparent proposal and voting system, and continually funded treasury make it secure, adaptable, and self-sustaining. Decred’s unique governance system is inclusive and decentralized, designed to empower stakeholders to collectively make and change the rules. The team launched its off-chain proposal system Politeia in late 2018. Since then, community members have voted to create a DEX, hire a PR firm (Ditto), deploy Lightning Network testnet, and further decentralize the Treasury.

Zebpay is a crypto exchange operating out of Singapore used by over 3M crypto traders in over 132 countries and supports fiat to crypto trading. The team just launched trading services in Australia and has opened a new office in Melbourne this week on the heels of a busy winter with the deployment of Lightning Network transactions and scraping trading fees to zero for all users.
Ditto PR, The Block, Decred and Zebpay look forward to meeting you next week at #AtomicSwapNYC!

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Global Big Data Analytics In Healthcare Market Share Revenue To Surge To USD 68.03 Billion By …

The Latest Report Available at Zion Market Research, “Big Data Analytics in Healthcare Market: by Component (Software [Electronic Health Record …

The Latest Report Available at Zion Market Research, “Big Data Analytics in Healthcare Market: by Component (Software [Electronic Health Record Software, Practice Management, and Workforce Management], Hardware [Data Storage, Routers, Firewalls, Virtual Private Networks, E-Mail Servers, and Others], and Services), By Deployment Type (On-Demand and On-Premise), By Analytics Type (Descriptive, Predictive, and Prescriptive), and By Application (Financial Analytics [Claim Processing, Revenue Cycle Management, Risk Adjustment & Assessment, and Others], Clinical Data Analytics [Quality Control, Population Health Management, Clinical Decision Support, Reporting and Compliance, and Precision Health], and Others): Global Industry Perspective, Comprehensive Analysis and Forecast, 2017 – 2024” provides pin-point analysis for changing competitive dynamics and a forward looking perspective on different factors driving or restraining industry growth. The Big Data Analytics in Healthcare Market is the most blooming and promising sector of the industry. This overall Big Data Analytics in Healthcare Market has been ascending at a higher rate with the enhancement of inventive strategies and a raising customer tendency. The wide-coming to Big Data Analytics in Healthcare Market is a wide field for players offering gigantic entryways for advancement. The overall Big Data Analytics in Healthcare Market is the establishment of the all-inclusive enhancement perspectives and prospects, as the headway of a specific thought requires diverse mechanically supported considerations, theories, and techniques.

Request Free Sample Big Data Analytics in Healthcare Market Report @ https://www.zionmarketresearch.com/sample/big-data-analytics-in-healthcare-market

Some of the Major Big Data Analytics in Healthcare Market Players Are:

  • Cerner Corporation
  • Dell
  • McKesson Corporation
  • Hewlett-Packard Co.
  • GE Healthcare
  • Mckesson
  • Koninklijke Philips N.V.
  • Epic System Corporation

The Big Data Analytics in Healthcare Market is widely partitioned reliant on the predictable updates in the enhancement of parameters, for example, quality, trustworthiness, end customer solicitations, applications, and others. The Big Data Analytics in Healthcare Market report contains general successful parameters, confinements, and besides has in detail illumination of the noteworthy data close by the present and future examples that may concern the advancement. The comprehensive Big Data Analytics in Healthcare Market report elucidates within and outside representation of current advancements, parameters, and establishments. The worldwide Big Data Analytics in Healthcare Market also gives knowledge related to the monetary circumstances that would be useful for businesses and startups.

The global Big Data Analytics in Healthcare Market report offers point by point viewpoints on the major and furthermore minor factors that may impact up or limit the market expansion. The Big Data Analytics in Healthcare Market report gives explanatory data that can change the forceful components in the market and will give a topographical division [Latin America, North America, Asia Pacific, Middle & East Africa, and Europe] of the general market on an overall measurement. The Big Data Analytics in Healthcare Market report gives in-detail data to grasp the critical market parts that help with settling on business decisions dependent on creation, demand, and supply of the thing as demonstrated by the examination of Big Data Analytics in Healthcare Market segments at regional and application preface. It gives Big Data Analytics in Healthcare Market estimates data for the upcoming years subjected to the advancement desire and structure of the market.

Download Free PDF Report Brochure @ https://www.zionmarketresearch.com/requestbrochure/big-data-analytics-in-healthcare-market

Promising Regions & Countries Mentioned In The Big Data Analytics in Healthcare Market Report:

  • North America ( United States)
  • Europe ( Germany, France, UK)
  • Asia-Pacific ( China, Japan, India)
  • Latin America ( Brazil)
  • The Middle East & Africa

Key Topics Covered:

1. Introduction

2. Executive Summarya

3. Big Data Analytics in Healthcare Market Market Dynamics

4. Global Big Data Analytics in Healthcare Market Competitive Landscape

5. Global Big Data Analytics in Healthcare Market Therapy Type Segment Analysis

6. Global Big Data Analytics in Healthcare Market Therapeutic Area Segment Analysis

7. Global Big Data Analytics in Healthcare Market End-User Segment Analysis

8. Global Big Data Analytics in Healthcare Market Regional Segment Analysis

Inquire more about this report @ https://www.zionmarketresearch.com/inquiry/big-data-analytics-in-healthcare-market

Key Highlights of the Big Data Analytics in Healthcare Market Report:

  • To analyze and research the global Big Data Analytics in Healthcare Market capacity, production, value, consumption, status and forecast;
  • To focus on the key Big Data Analytics in Healthcare Market manufacturers and study the capacity, production, value, market share and development plans in next few years.
  • To focuses on the global key manufacturers, to define, describe and analyze the market competition landscape, SWOT analysis.
  • To define, describe and forecast the market by type, application and region.
  • To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
  • To identify significant trends and factors driving or inhibiting the market growth.
  • To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
  • To strategically analyze each submarket with respect to individual growth trend and their contribution to the market.
  • To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
  • To strategically profile the key players and comprehensively analyze their growth strategies.

Reason to Buy

  • Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Big Data Analytics in Healthcare Market
  • Highlights key business priorities in order to assist companies to realign their business strategies.
  • The key findings and recommendations highlight crucial progressive industry trends in the Big Data Analytics in Healthcare Market, thereby allowing players to develop effective long term strategies.
  • Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
  • Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.
  • Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation and industry verticals.

The study objectives are:

  • We will give you an assessment of the extent to which the market possesses commercial characteristics (such as the presence of firms with primarily non-government business bases, the presence of business methods not consistent with public law/regulation/oversight including government acquisition) along with examples or instances of information that supports your assessment.
  • We will also help you identify standard/customary terms and conditions such as discounts, warranties, buyer financing, inspection, and acceptance for the Big Data Analytics in Healthcare Market industry.
  • We will further help you in knowing any pricing issues, price ranges, and analysis of price variations of products in Big Data Analytics in Healthcare Market industry.
  • Furthermore, we will help you in identifying any historical trends to predict Big Data Analytics in Healthcare Market market growth rate up to 2025.
  • Lastly, we will predict the general tendency for supply and demand in the Big Data Analytics in Healthcare Market industry.

Also, Research Report Examines:

  • Competitive companies and manufacturers in global market
  • By Product Type, Applications & Growth Factors
  • Industry Status and Outlook for Major Applications / End Users / Usage Area

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

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A Day In The Life Of: Ezetap Analyst Who Wants To Step Up To The Data Scientist Role

… working in areas like big data, advanced analytics and artificial intelligence. … Five years down the line, Nayak sees himself as a full-fledged Data …



ezetap

As an Analyst who is an aspiring data scientist and a night owl who creates AI-powered dashboards for customer interaction, Sujeet Nayak from Ezetap leads a busy life. We talked to Nayak, who works in the Customer Solutions team, to give us a perspective about his work, life and working with emerging tech.

Each week, for our column ‘A Day In The Life Of’, we talk to awesome techies from various organisations who are working in areas like big data, advanced analytics and artificial intelligence.



Nayak, who has a buoyant personality and lively voice, told Analytics India Magazine that the key to his creativity at the workplace lies in his morning ritual. “My day begins at 8 am with a cup of warm lemon water and then referring to the quick notes for the day about all the tasks to finish as a priority,” he says.

He says that the best part about working for a fintech startup was its flexible timings, but adds that the adrenaline rush for him comes from taking on more responsibilities, working with new ideas and putting his best effort to achieve targets.


W3Schools


But that does not mean that it’s all work and no play for Nayak. “My exciting job doesn’t dictate my personal life. I love travelling — and on long weekends, I mostly go on trips. On Saturday nights, I generally make it to the highways to enjoy a short night spin,” he says enthusiastically.

Explaining about his work in detail, Nayak says that as an Analyst in the Customer Solution Team, his work is primarily focused on interacting with their existing customers as well as the ones who have just come on board.

“I have to coordinate with the internal team of the organisation, understand the business and create an end-to-end solution for them. Some of the examples are Analytical Portals, Dashboards and even reports. This involves understanding the data, cleaning up the data for business use, followed by coding and validating the data, before I present the same,” says Nayak.

Ezetap, the company Nayak works for, provides mobile point-of-sales payment solutions in India. They also offer card swipe devices and mobile applications for businesses and financial institutions to complete financial transactions. The company’s solution features remote pay, universal payment acceptance, multi-bank EMI, on-us routing, multi-TID, smart charge slips, universal wallet acceptance, and multiple device lines. Ezetap was founded in 2011 and is based in Bengaluru.

When asked about what were the best and the worst parts of his job description, Nayak says, “On a typical workday, I really feel good when I solve business-related issues. Sometimes, they’re way trickier and solving them can take hours. The worst part is when I have plenty of things in my bucket and then some existing issue makes a comeback. Choosing one task as a priority over another does matter a lot in my workplace,” he says.

Five years down the line, Nayak sees himself as a full-fledged Data Scientist. In fact, he is reskilling himself and studying for it. “My short term goal is to learn new skills, to explore new things and implementing those, to become a perfect Data Scientist,” he concludes.


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Strategy Myth #8: Strategy Derives From Data

With the growing popularity of big data, data analytics and artificial intelligence, we see a revival of data-driven approaches to strategy today. Many of …
ASSOCIATED PRESS

To make progress with the way we generate and execute strategy in our organizations, it is crucial to have a realistic picture of what strategy is and what it can and cannot do. Trivial as this may sound, it is unfortunately worthwhile saying because the way we think about strategy is hindered for decades already by ten strong myths. In this series of articles, I summarize and evaluate these myths one by one with the intention of breaking them. This opens the door for more realistic and productive approaches to strategy. In this article we have arrived at Myth #8: Strategy Derives From Data.

The Myth

The widely spread traditional strategy approach as we know it relies strongly on gathering and analyzing data. With the help of frameworks like Porter’s Five Forces Framework and the DESTEP analysis, we are supposed to gather extensive data about the opportunities and threats in our market. Along those same lines we are supposed to gather information about the internal strengths and weaknesses of our organization. And based on these analyses we then create a SWOT matrix, leading to the generation of strategic options between which we can choose.

With the growing popularity of big data, data analytics and artificial intelligence, we see a revival of data-driven approaches to strategy today. Many of the big consulting firms, for example, talk about things like big data strategy and data-driven strategy. With the technological advancements of today, so the idea goes, we can gather and analyze more data and thereby make better and more accurate strategies than ever before.

Why It Is Wrong

Of course, data is important. Without data, any strategy would be pure fantasy. Fun perhaps, but not necessarily useful for real organizations. However, there are at least five reasons why I think data is less important to strategy than often assumed.

  1. Strategy is about the future, data about the past. By definition, data is about the past. Based on trend analysis and extrapolation we might be able to project developments into the future. But the data itself is about the past. This means that data can be useful in stable and predictable industries and when your strategy is doing more of the same. But as soon as you want to make any significant change or create a new industry, the relevance of data quickly evaporates. After all, what data to use if you are entering unexplored territory?
  2. Strategy requires judgment and interpretation. Two people facing the same piece of data can draw diametrically opposed conclusions. Facing the fact that everyone wears sandals in the desert, I might conclude there is no market for shoes because no one wears shoes. You, on the other hand, might conclude there is a huge market for shoes, because no one wears shoes. This simple example shows that, next to the data, it is at least as important what you and I see in this data, how we interpret and judge it. Opportunity—as wel as threat—lies in the eye of the beholder, not in the data.
  3. Strategy is created, not found. The idea that strategy can be derived from data and analysis suggests that strategy is already present, laying there and waiting to be found by discovering the right patterns. But that is not where strategy comes from. Sure, it might be informed by data, but an actual strategy is created, designed by people. In the process of generating strategy, people add their imagination and creativity. The more innovative a strategy is, the more it will be based on imagination and creativity and the less it can rely on data.
  4. Strategy is about what should be. Strategy isn’t just a summation of trends or a deductive analytical exercise. There is no way of objectively preferring one strategy above the other. There are always our own normative frameworks at play that make us prefer one strategy over the other. This means that, at its heart, formulating strategy is a very normative thing to do because it involves describing a desired future state based on our own ideas about what is preferred and what not. Data cannot provide us that.
  5. Strategy is social, data not. Strategy making is an inherently social process. Organizations need strategy that people are willing to execute. This means that people need to feel it is their strategy, a strategy to which they want to commit. Even when data analysis would lead to a perfect strategy in theory, a less perfect strategy that reflects how your people think is preferred because the chances of successful execution will be significantly higher. After all, a great strategy is one that people can and will execute, not one that is just great on paper.

What Then?

Ignoring relevant data is foolish. But over-depending on data is foolish too—even if the data is relevant. As the five points above show, strategy is not just a cold, deductive, rational process. It involves people, their imagination and creativity, their norms and values, and their ability and willingness to execute. This makes data far less important than oftentimes assumed.

The approach to strategy that follows from these points is a participative one in which there is a substantial role for people’s subjective, intuitive and creative contributions as well as their thoughts about what is right and wrong. Collaborative sensemaking plays a crucial role in such approach. It means that people together create an understanding of what the current strategy is, what it could be, and what it should be. Can you picture an approach like that?

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Market Size and Top players for Healthcare Big Data Analytics industry – Analysis and Forecast …

MarketResearchPro has published new report on “Healthcare Big Data Analytics market”. The Report Provides Information on Industry Trends, …

Healthcare Big Data Analytics market report

MarketResearchPro has published new report on “Healthcare Big Data Analytics market”. The Report Provides Information on Industry Trends, Demand, Top Manufacturers, Countries, Material, and Application.

Healthcare Big Data Analytics Market 2019 – 2025: This report researches the worldwide Healthcare Big Data Analytics size (value, capacity, production, and consumption) in key regions like United States, Europe, China, Japan, and other regions.

Get Sample Copy of Healthcare Big Data Analytics Market Report at @ https://marketresearchpro.net/global-healthcare-big-data-analytics-market-size-status-and-forecast-2018-2025/

This study categorizes the Healthcare Big Data Analytics market breakdown data by manufacturers, region, type, and application, also analyzes the market status, market share, growth rate, future trends, market drivers, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter’s Five Forces Analysis.

This report focuses on the top manufacturers’ Healthcare Big Data Analytics Market capacity, production, value, price and market share of Healthcare Big Data Analytics Market in the global market.

The following manufacturers are covered in Healthcare Big Data Analytics Market report:

  • IBM
  • Cerner Corporation
  • Cognizant
  • Dell
  • Epic System Corporation
  • GE Healthcare
  • McKesson
  • Optum
  • Philips

Healthcare Big Data Analytics Market Breakdown Data by Type

  • Hardware
  • Software

Healthcare Big Data Analytics Market Breakdown Data by Application

  • Hospital
  • Clinics
  • Diagnostic Centers
  • Others

Healthcare Big Data Analytics Market Production Breakdown Data by Region

  • United States
  • Europe
  • China
  • Japan
  • Southeast Asia
  • India
  • Central & South America

The study objectives are:

  • To analyze and research the global Healthcare Big Data Analytics market capacity, production, value, consumption, status and forecast;
  • To focus on the key Healthcare Big Data Analytics market manufacturers and study the capacity, production, value, market share and development plans in next few years.
  • To focuses on the global key manufacturers, to define, describe and analyze the market competition landscape, SWOT analysis.
  • To define, describe and forecast the market by type, application, and region.
  • To analyze the global and key regions market potential and advantage, opportunity, and challenge, restraints, and risks.
  • To identify significant trends and factors driving or inhibiting market growth.
  • To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
  • To strategically analyze each submarket with respect to individual growth trend and their contribution to the market.
  • To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
  • To strategically profile the key players and comprehensively analyze their growth strategies.

Major Points from Table of Content:

Healthcare Big Data Analytics Market Research Report 2018-2025, by Manufacturers, Regions, Types, and Applications

Chapter One: Study Coverage

Chapter Two: Executive Summary

Chapter Three: Market Size by Manufacturers

Chapter Four: Healthcare Big Data Analytics Market Production by Regions

Chapter Five: Healthcare Big Data Analytics Market Consumption by Regions

Chapter Six: Healthcare Big Data Analytics Market Size by Type

Chapter Seven: Healthcare Big Data Analytics Market Size by Application

Chapter Eight: Manufacturers Profiles

Chapter Nine: Production Forecasts

Chapter Ten: Consumption Forecast

Chapter Eleven: Upstream, Industry Chain and Downstream Customers Analysis

Chapter Twelve: Opportunities & Challenges, Threat and Affecting Factors

Place an enquiry before purchase @ https://marketresearchpro.net/global-healthcare-big-data-analytics-market-size-status-and-forecast-2018-2025/

From the publisher:

MRP is a single point of aid for all your market research requirements. We have a vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.

Customization of the Report: This report can be customized as per your needs for additional data up to 3 companies or countries or 40 analyst hours.

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