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SAS and Institute for Veterans and armed forces households to assist veterans transition to profitable analytics careers | killexams.com real Questions and Pass4sure dumps

Analytics skill scarcity skill titanic records skills are in unreasonable require across industries

CARY, N.C. and SYRACUSE, N.Y., Nov. eight, 2017 /PRNewswire/ -- Employers from every traffic are clamoring for individuals with analytics skills to assist them rotate facts into meaningful assistance to Make more desirable selections. armed forces veterans and members of the family can pursue the most well liked careers these days, due to a collaboration between the Institute for Veterans and armed forces families (IVMF) and analytics company SAS.

Launched in 2011 at Syracuse school, the IVMF is a concomitant addition to the tuition's long background of aiding veterans, relationship lower back to World conflict II. IVMF's Onward to probability-Veterans career Transition application (O2O-VCTP) is a career potential software that offers civilian career practising, expert certifications and job placement advocate to the essentially 200,000 yearly transitioning service individuals, participants of the Reserves or countrywide guard, veterans and military spouses.

The IVMF focuses on improving the publish-service lives of america's service contributors, veterans and families. IVMF prepares those individuals to be triumphant, partially, through partnering with private sector agencies dedicated to training and hiring militia talent and their spouses earlier within the transition manner.

starting in January 2018, the IVMF will present two free SAS programming lessons at 14 militia installations across the US and additionally online. members can receive vouchers to sit down for SAS Certification assessments without charge, redeemable at any Pearson Vue testing middle.

"The consequence of the SAS relationship cannot be overstated," referred to Dr. Mike Haynie, Vice Chancellor for Strategic Initiatives and Innovation and executive Director of the IVMF. "presenting veterans and their households with in-demand practising is essential to creating significant careers as provider contributors transition. they are disdainful to companion with SAS, and i applaud their management for conducting this significant work. They appear forward to a advantageous and impactful partnership."

opportunities abound

SAS valued clientele span greater than eighty three,000 enterprise, government and college websites, together with ninety four of the proper a hundred agencies on the 2016 Fortune global 500®. With a market that deep, a SAS huge information, advanced analytics or records science credential fosters lucrative opportunities throughout industries.

"management, teamwork, strategic pondering and a dedication to the mission are each and every characteristics inherent to veterans, and add gigantic cost to an organization," renowned Emily Baranello, vice president of the SAS schooling observe. "adding analytics expertise to that combine will prepare O2O graduates to capture pleasing profession opportunities."

basically, a 2016 examine of 54 million worker profiles on PayScale.com recognized capabilities of SAS because the No. 1 profession skill that translates into revenue bumps. The SAS global Certification software has long been the measure for industries like banking and pharma. Launched in 1999 to validate SAS potential and competencies, the software has awarded more than 118,000 SAS credentials to people in 77 nations.

As a corporation committed to aiding veterans, SAS participates in lots of programs to appeal to these dedicated, driven americans to the company, and to assist them Make the transition to civilian lifestyles. These efforts helped earn SAS the pro Patria Award, the maximum state-level award given to a civilian organization by the united states fork of protection. It acknowledges organizations for hiring and aiding veterans, reservists and contributors of the countrywide protect.

Story Continues

about the Institute for Veterans and army households at Syracuse UniversityThe Institute for Veterans and armed forces households (IVMF) is the first interdisciplinary national institute in better schooling focused on the social, financial, schooling, and policy considerations impacting veterans and their households. via its knowledgeable team of workers and consultants, the IVMF offers leading classes in career, vocational, and entrepreneurship training and practicing, while besides conducting actionable analysis, policy analysis, and software critiques. The IVMF additionally helps communities via collective affect efforts that boost birth and access to services and care. The Institute, supported by route of a wonderful advisory board, together with public and personal companions, is committed to advancing the lives of folks that like served in the united states's military and their families. For extra tips, argue with ivmf.syracuse.edu and comply with the IVMF on facebook, Twitter and Instagram.

About SASSAS is the leader in analytics. through ingenious analytics, company intelligence and statistics management software and functions, SAS helps shoppers at more than eighty three,000 websites Make improved selections faster. considering 1976, SAS has been giving customers each and every over THE energy to know®.

SAS and each and every other SAS Institute Inc. product or provider names are registered emblems or trademarks of SAS Institute Inc. in the u . s . and different nations. ® suggests u . s . registration. different company and product names are logos of their respective organizations. Copyright © 2017 SAS Institute Inc. each and every rights reserved.

View long-established content material with multimedia:http://www.prnewswire.com/news-releases/sas-and-institute-for-veterans-and-armed forces-households-to-aid-veterans-transition-to-rewarding-analytics-careers-300551754.html


SAS Warms to Open-supply One letter at a Time | killexams.com real Questions and Pass4sure dumps

The SAS Institute has borrowed a page from Sesame road. it's now sponsoring the letter ‘R.’

Enterprise Computing

closing month, I wrote a piece of writing about the rising recognition of the R programming language. The open-source utility has turned into a favorite piece of technology for statisticians and different people seeking to tow insights out of records.

On a number of levels, R represents a probability to SAS, which is the largest seller of commercial facts utility. students at universities now gain learning of R alongside SAS. additionally, the open-supply nature of R allows the software to be tweaked at a pace that is arduous for a industrial application maker to match.

All informed, surging interest in the free R language could affect income of SAS software, that may sell for thousands of bucks. in residence of operating from the possibility, SAS appears ready to are trying to seize note R by means of adopting a extra energetic position in its construction.

When my article regarded, a brace of open-source advocates took exception with feedback from Anne H. Milley, director for know-how product advertising at SAS, who relegated R to a confined function.

in the article, Ms. Milley stated, “I feel it addresses a spot market for prime-conclusion information analysts that want free, with no mishap attainable code. they now like shoppers who construct engines for plane. i am satisfied they aren't the usage of freeware once I salvage on a jet.”

To her credit score, Ms. Milley addressed one of the vital comments head-on in a subsequent weblog attach up.

Now, youngsters, SAS looks a powerful deal sweeter on R.

In a fresh client aid notice, SAS observed it'll assist R in one of its utility items, permitting data to skedaddle between R and SAS courses.

“this is simply the 1st step,” Radhika Kulkarni, the vp for advanced analytics at SAS, stated in the notice. “we are assiduous engaged on an R interface that can besides be surfaced in the SAS server or via other SAS customers.”

SAS reasonably without leisurely addressed R’s growing presence at universities as neatly.

“R is a leading language for establishing current statistical methods,” Bob Rodriguez, the senior director for statistical evolution at SAS, observed within the word. “Our current Ph.D. developers discovered R of their graduate courses and are by a long shot versed in it.”

The enterprise looks to add extra R aid into its software as soon as subsequent 12 months.

while restrained for the second, SAS’s assist may well be adequate to open the enterprise up extra to the R dialogue and developers sooner or later.


desktop gaining learning of as a service market anticipated to develop strongly by means of 2023 explored in latest research | killexams.com real Questions and Pass4sure dumps

computing device getting to know as a service (MLaaS) comprises latitude of services that present machine discovering tools through cloud computing features. The global laptop getting to know as a carrier market was valued at $571 million in 2016, and is projected to attain $5,537 million by 2023, growing at a CAGR of 39.0% from 2017 to 2023.

laptop studying As A service market is a process of facts evaluation that includes of statistical statistics evaluation performed to derive desired predictive output with out the implementation of express programming. it is designed to comprise the functionalities of artificial intelligence (AI) and cognitive computing involving a sequence of algorithms and is used to seize into account the connection between datasets to obtain a preferred output.

expanded penetration of cloud-based mostly options, boom linked to artificial intelligence and cognitive computing market, and enhance in market for prediction solutions constrain the market growth. moreover, boom in IT expenditure in emerging international locations and technological advancements for workflow optimization gasoline the require for advanced analytical programs riding the laptop gaining learning of as a provider market growth.

despite the fact, dearth of informed specialists is anticipated to handcuff the desktop learning as a carrier market share. moreover, expanded software areas and growth of IoT is expected to create profitable alternatives for computer studying as a provider market increase.

Request for a pattern reproduction of this document @ www.bigmarketresearch.com/request-sample/1548471

The international desktop learning as a provider market is segmented according to element, firm size, end-use industry, software, and geography. The component segment is bifurcated into software and services.

according to organization measurement, it is split into significant companies and small & medium agencies. The software section is classified into marketing & advertising, fraud detection & risk management, predictive analytics, augmented & virtual fact, herbal language processing, laptop vision, protection & surveillance, and others.

On the foundation of end-use business, it's labeled into aerospace & protection, IT & telecom, energy & utilities, public sector, manufacturing, BFSI, healthcare, retail, and others. by using geography, the computing device gaining learning of as a provider market is analyzed throughout North america, Europe, Asia-Pacific, and LAMEA.

Key avid gamers that operate in the computing device discovering as a carrier market are Google Inc., SAS Institute Inc., FICO, Hewlett Packard commercial enterprise, Yottamine Analytics, Amazon net capabilities, BigML, Inc., Microsoft supplier, Predictron Labs Ltd., and IBM traffic enterprise.

Request for this report @ www.bigmarketresearch.com/request-for-bargain/1548471

KEY merits FOR STAKEHOLDERS

This report gives an outline of the tendencies, constitution, drivers, challenges, and alternatives in the global computer discovering as a carrier market.

Porter’s five Forces analysis highlights the abilities of consumers & suppliers, and offers insights on the competitive constitution of the market to check the funding pockets.

existing and future trends adopted through the key market gamers are highlighted to assess generic competitiveness.

The quantitative evaluation of the computing device learning as a provider market boom from 2017 to 2023 is provided to difficult the market advantage.

by element

utility

capabilities

by organization size

giant firms

Small & Medium enterprises

by means of end-Use industry

Aerospace & Defence

IT & Telecom

energy & Utilities

Public sector

Manufacturing

BFSI

Healthcare

Retail

Others

by means of utility

marketing & advertising

Fraud Detection & desultory administration

Predictive analytics

Augmented & virtual fact

natural Language processing

computing device vision

security & surveillance

Others

desk of content material:

CHAPTER 1: INTRODUCTION

1.1. record description

1.2. Key merits for stakeholders

1.3. Key market phase

1.4. analysis methodology

1.4.1. Secondary analysis

1.four.2. fundamental analysis

1.4.3. Analyst gear & models

CHAPTER 2: government summary

2.1. CXO standpoint

CHAPTER 3: MARKET OVERVIEW

three.1. Market definition and scope

3.2. Key findings

3.2.1. accurate impacting factors

3.2.2. proper investment pockets

3.2.three. loyal successful options

3.2.4. loyal profitable ideas, by route of year, 2016-2018*

3.2.5. excellent profitable strategies, via development, 2016-2018* (%)

three.2.6. desirable successful options, through business, 2016-2018*

three.three. Porter's 5 forces evaluation

three.four. Market share, 2017

3.5. Market dynamics

three.5.1. Drivers

3.5.1.1. upward push admired for stronger user journey and convenience features

3.5.1.2. growing to be require of self adequate vehicle

three.5.2. Restraint

three.5.2.1. upward thrust security and privacy concerns

three.5.3. probability

three.5.3.1. expanding require for premium car phase

CHAPTER 4: computing device studying AS A provider MARKET, via part

4.1. Overview

4.2. Hardware

four.2.1. Key market traits and alternatives

4.2.2. Market dimension and forecast, by means of region

4.2.3. Market size and forecast, through hardware class

four.2.three.1 Processor

4.2.three.1.1. Market dimension and forecast, via processor

four.2.3.1.2. Microprocessor (MPU)

4.2.3.1.3. photos Processing Unit (GPU)

four.2.three.1 memory

four.2.3.1 network

four.2.four. Market analysis, by using country

four.3. utility

4.3.1. Key market developments and alternatives

4.three.2. Market dimension and forecast, by means of region

four.3.3. Market analysis, via nation

4.4. features

four.four.1. Key market trends and alternatives

four.4.2. Market measurement and forecast, through location

four.4.3. Market evaluation, by using nation

For greater: www.bigmarketresearch.com/computer-…-a-carrier-market

This email wield is being protected from spambots. You necessity JavaScript enabled to view it.


A00-202 SAS Advanced Programming

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US Court Affirms World Programming's privilege to Sell WPS by Denying SAS Institute's title for Injunction | killexams.com real questions and Pass4sure dumps

BOSTON, MA--(Marketwired - Jul 5, 2016) - A US District Court has affirmed World Programming's entitlement to continue to market and license its WPS software in the US. In denying SAS Institute's request for a permanent injunction to obviate World Programming from selling its WPS software in the US, the US Court has confirmed that there is no legal basis for any such restriction.

The recent Court Order follows earlier rulings of the UK Court and the Court of Justice of the European Union (CJEU) and confirms that the WPS software is a legitimate alternative to the SAS System software sold by SAS Institute. each and every courts that like considered this long-lasting dispute between SAS Institute and World Programming like consistently institute that WPS software does not infringe any SAS Institute copyright.

This considerable ruling will provide further reassurance to customers of the long-term availability of WPS software as a robust platform for industrial analytics and data science. Not only will WPS software continue to be available to US-based customers; it will continue to be supported and developed by an extraordinarily talented team of software engineers and mathematicians that has enabled World Programming to create the WPS software used in production on a huge sweep of systems around the world today.

"We are pleased with this court decision, especially as it is consistent with the EU and UK court findings which dismissed each and every of SAS Institute's claims in prior parallel proceedings brought in the UK," said Alexander Carter-Silk at Brown Rudnick, World Programming's legal advisor. "The fact that this US case has progressed as far as it has, and requires intervention by an appeals court, is surprising. The principles of private international law are such that once a claimant such as SAS Institute has chosen its jurisdiction and had its grievance heard, that should be an cease of the matter. These proceedings like never had much to execute with enforcing legitimate legal rights. Across the world public policy limits intellectual property rights in time and scope in order to protect and cheer innovation."

"This latest outcome helps attach the more difficult aspects of this ordeal behind us, allowing the World Programming team to continue focusing on what they execute best, delivering innovative industrial analytics and data science technology to individuals and businesses globally," said Oliver Robinson, CEO at World Programming. "We like to compete with SAS Institute and other analytics software providers on a flush playing bailiwick and customers are free to choose which software meets their needs best."

In September 2014, the US District Court affirmed previous UK and European rulings that World Programming had not infringed any copyright owned by SAS Institute nor had it breached any contracts with SAS Institute. wayward to the UK and CJEU rulings, however, the US Court went on to find that World Programming had breached a contractual licence restriction on the exhaust of the SAS Learning Edition. The US District Court interpretation of the licence terms, along with the associated damages award, will be a matter of appeal.

"Dealing with two sets of parallel proceedings from SAS Institute has been complex," said Peter Quarendon, Chief Scientific Officer at World Programming. "We will continue to close-out remaining issues and they are confident that they will ultimately prevail on each and every points in the US proceedings as they like already done in the parallel UK and European proceedings."

For more information and updates, including the SAS Institute vs. World Programming lawsuit, please visit the blog and press sections of the World Programming website at www.worldprogramming.com.

About World Programming World Programming is widely recognised for its WPS industrial analytics and data science software for users ranging from a unique data scientist to multi-national businesses worldwide. World Programming customers exhaust the WPS data platform to resolve the needs of everyday data management through to involved machine learning and predictive analytics that consume very great datasets and live data streams. WPS software supports the SAS language together with the R language for analytics and data processing on workstations, servers, cloud, grid, Hadoop and mainframe systems. Since 2000, World Programming has built a reputation for reliability, performance, customer service and value.


Data Lakes Market - Highly fragmented arena 2025 | Microsoft Corporation, Capgemini | killexams.com real questions and Pass4sure dumps

Global Data Lakes Market: Snapshot

The global data lakes market is driven by a number of factors, such as the necessity for increased traffic agility and accessibility, increasing adoption of the Internet of Things, opportunity for in-depth insights in order to gain competitive advantage, low cost and extremely scalable storage, increasing volume and variety of traffic data, supports multiple software frameworks and programming languages, data agnostic, instantaneous access to each and every data, and centralization of data. However, there are a few limitation that are challenging the global data lakes market, such as meta-data management, data governance, data security, and the lack of awareness regarding the newer data storage and analytical techniques. each and every together, the report projects the global data lakes market to expand at a robust CAGR during the forecast epoch of 2017 to 2025.

This report on the global data lakes market aspires to serve as a credible traffic document for targeted audiences such as solution vendors, OEMs, system integrators, advisory firms, private equity ground, national regulatory authorities, investment houses, venture capitalists, and equity research firms. The report provides in-depth analysis of each and every above mentioned factors and based on that, presents estimations of the scenario of the market in 2025. Data lakes makes for an evolving market, which is attracting a number of current companies with technological and fiscal might, and the report contains profiles of a number of leading companies in order to gauge the opportunities available for the current entrants.

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Based on type, the global data lakes market can be segmented into software and services. While on the basis of software, the market can be sub-segmented into data discovery, data integration and management, analytics and visualization, whereas on the basis of services, the market can be sub-segmented into managed services and professional services. Based on traffic function, the global market for data lakes can

Global Data Lakes Market: Overview

A data lake is a data storage and management platform that holds a considerably great amount of raw data in its natural format until needed. A data lake uses a flat architecture to store data and with its assistance, it becomes much easier for data scientists, developers, and analysts to store data of any shape or size, and speed, and execute each and every types of analytics and processing across each and every kinds of languages and platforms.

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On the basis of type, the global data lakes market may be segmented into software and service. Based on traffic function, the market can be classified into operations, marketing, sales, finance, and human Resources. The market can be further segmented into government, BFSI, retail & ecommerce, healthcare & life sciences, telecommunication & IT, manufacturing, energy & utilities, media & entertainment, and others – based on industry vertical.

In the report, TMR Research provides a circumstantial analysis of the drivers and restraints influencing the global data lakes market. It besides offers insight into factors impacting the market’s trajectory across various segments and regions.

Global Data Lakes Market: Key Trends

Data technology is much in require due to various factors such as higher acceptance of Internet of Things (IoT), increased necessity for traffic agility and accessibility, and the increasing volume and variety of traffic data. In addition, switching from outdated data management techniques for storage to advanced techniques and huge stream of unstructured and structured data are positively impacting the market growth. On the contrary, companies operating in the industrial sectors like institute that data lakes are inefficient to wield massive scale and complicated industrial data. In order to Make quick, faultfinding operational decisions, data lakes are unable to provide the real-time analysis and situational awareness that operators and engineers require, thereby limiting the market growth.

Read Comprehensive Overview of Report @ www.tmrresearch.com/data-lakes-market

Based on type, services shape the key contributor to the global data lakes market, and the segment is expected to grow during the said period. The require for services is elevated due to increased requirement for data lake software solutions across organizations. Operations are anticipated to witness a growth in the applications segment because of the rising require of IoT-enabled technologies. These technologies are mainly used for operations in manufacturing and IT organizations. On the basis of industry vertical, BFSI is projected to account for a great partake in the market. fiscal service institutes as well as several fiscal transactions in banks are managed by IT systems, invariably increasing the volume and variety of data, hence driving the growth of global data lakes market.

Global Data Lakes Market: Regional Analysis

The global data lakes market is segmented on the basis of geography into North America, Europe, the Middle East and Africa, Asia Pacific, and Latin America. Due to early adoption of data management systems and technological advancements, North America has emerged as the chief contributor to the revenue generated by the market for global data lakes, and it is predicted that this region will further grow in the forecast period. Another market that looks promising is Asia Pacific. elevated adoption of technology and huge opportunities mainly across industry verticals are driving the growth of the market.

Global Data Lakes Market: Key Players

The report profiles some of the prominent competitors functioning in the global data lakes market. It besides offers insights into the threats and opportunities that the companies are expected to witness in the coming years. The global market for global data lakes is highly fragmented. Some of the key players are Microsoft Corporation, Capgemini, Informatica Corporation, Teradata, EMC Corporation, Oracle Corporation, SAP SE, Hitachi, Atos, and SAS Institute.

About TMR Research

TMR Research is a premier provider of customized market research and consulting services to traffic entities keen on succeeding in today’s supercharged economic climate. Armed with an experienced, dedicated, and dynamic team of analysts, they are redefining the route their clients’ conduct traffic by providing them with authoritative and trusted research studies in tune with the latest methodologies and market trends.

Our savvy custom-built reports span a gamut of industries such as pharmaceuticals, chemicals and metals, food and beverages, and technology and media, among others. With actionable insights uncovered through in-depth research of the market, they try to bring about game-changing success for their clients.

Contact:

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San Francisco, CA 94121

United States

Tel: +1-415-520-1050

Email: sales@tmrresearch.com

This release was published on openPR.


Machine learning as a service market expected to grow strongly by 2023 explored in latest research | killexams.com real questions and Pass4sure dumps

Machine learning as a service (MLaaS) incorporates sweep of services that present machine learning tools through cloud computing services. The global machine learning as a service market was valued at $571 million in 2016, and is projected to attain $5,537 million by 2023, growing at a CAGR of 39.0% from 2017 to 2023.

Machine Learning As A Service market is a process of data analysis that comprises of statistical data analysis performed to derive desired predictive output without the implementation of definite programming. It is designed to incorporate the functionalities of artificial intelligence (AI) and cognitive computing involving a sequence of algorithms and is used to understand the relationship between datasets to obtain a desired output.

Increased penetration of cloud-based solutions, growth associated with artificial intelligence and cognitive computing market, and expand in market for prediction solutions drive the market growth. In addition, growth in IT expenditure in emerging nations and technological advancements for workflow optimization fuel the require for advanced analytical systems driving the machine learning as a service market growth.

However, dearth of trained professionals is expected to impede the machine learning as a service market share. Furthermore, increased application areas and growth of IoT is expected to create lucrative opportunities for machine learning as a service market growth.

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The global machine learning as a service market is segmented based on component, organization size, end-use industry, application, and geography. The component segment is bifurcated into software and services.

Based on organization size, it is divided into great enterprises and small & medium enterprises. The application segment is categorized into marketing & advertising, fraud detection & risk management, predictive analytics, augmented & virtual reality, natural language processing, computer vision, security & surveillance, and others.

On the basis of end-use industry, it is classified into aerospace & defense, IT & telecom, energy & utilities, public sector, manufacturing, BFSI, healthcare, retail, and others. By geography, the machine learning as a service market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Key players that operate in the machine learning as a service market are Google Inc., SAS Institute Inc., FICO, Hewlett Packard Enterprise, Yottamine Analytics, Amazon Web Services, BigML, Inc., Microsoft Corporation, Predictron Labs Ltd., and IBM Corporation.

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KEY BENEFITS FOR STAKEHOLDERS

This report provides an overview of the trends, structure, drivers, challenges, and opportunities in the global machine learning as a service market.

Porter’s Five Forces analysis highlights the potential of buyers & suppliers, and provides insights on the competitive structure of the market to determine the investment pockets.

Current and future trends adopted by the key market players are highlighted to determine overall competitiveness.

The quantitative analysis of the machine learning as a service market growth from 2017 to 2023 is provided to elaborate the market potential.

By Component

Software

Services

By Organization Size

Large Enterprises

Small & Medium Enterprises

By End-Use Industry

Aerospace & Defence

IT & Telecom

Energy & Utilities

Public sector

Manufacturing

BFSI

Healthcare

Retail

Others

By Application

Marketing & Advertising

Fraud Detection & Risk Management

Predictive analytics

Augmented & Virtual reality

Natural Language processing

Computer vision

Security & surveillance

Others

Table of content:

CHAPTER 1: INTRODUCTION

1.1. Report description

1.2. Key benefits for stakeholders

1.3. Key market segment

1.4. Research methodology

1.4.1. Secondary research

1.4.2. Primary research

1.4.3. Analyst tools & models

CHAPTER 2: EXECUTIVE SUMMARY

2.1. CXO perspective

CHAPTER 3: MARKET OVERVIEW

3.1. Market definition and scope

3.2. Key findings

3.2.1. Top impacting factors

3.2.2. Top investment pockets

3.2.3. Top Winning Strategies

3.2.4. Top Winning Strategies, By Year, 2016-2018*

3.2.5. Top Winning Strategies, By Development, 2016-2018* (%)

3.2.6. Top Winning Strategies, By Company, 2016-2018*

3.3. Porter's five forces analysis

3.4. Market share, 2017

3.5. Market dynamics

3.5.1. Drivers

3.5.1.1. climb in require for enhanced user relish and convenience features

3.5.1.2. Growing require of autonomous vehicle

3.5.2. Restraint

3.5.2.1. climb security and privacy concerns

3.5.3. Opportunity

3.5.3.1. Increasing require for premium vehicle segment

CHAPTER 4: MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT

4.1. Overview

4.2. Hardware

4.2.1. Key market trends and opportunities

4.2.2. Market size and forecast, by region

4.2.3. Market size and forecast, by hardware type

4.2.3.1 Processor

4.2.3.1.1. Market size and forecast, by processor

4.2.3.1.2. Microprocessor (MPU)

4.2.3.1.3. Graphics Processing Unit (GPU)

4.2.3.1 Memory

4.2.3.1 Network

4.2.4. Market analysis, by country

4.3. Software

4.3.1. Key market trends and opportunities

4.3.2. Market size and forecast, by region

4.3.3. Market analysis, by country

4.4. Services

4.4.1. Key market trends and opportunities

4.4.2. Market size and forecast, by region

4.4.3. Market analysis, by country

For More: www.bigmarketresearch.com/machine-…-a-service-market

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