Artificial Intelligence in BFSI Market Still Has Room to Grow | Emerging Players IFlyTek, Infosys …

A latest survey on Global Artificial Intelligence in BFSI Market is conducted covering various organizations of the industry from different geographies to …

A latest survey on Global Artificial Intelligence in BFSI Market is conducted covering various organizations of the industry from different geographies to come up with 100+ page report. The study is a perfect mix of qualitative and quantitative information highlighting key market developments, challenges that industry and competition is facing along with gap analysis and new opportunity available and may trend in Artificial Intelligence in BFSI market. The report bridges the historical data from 2013 to 2018 and forecasted till 2025*. Some are the key & emerging players that are part of coverage and have being profiled are IBM, Baidu, Brighterion, Microsoft, Google, SAP, Intel, IPsoft, NVIDIA, MicroStrategy, IFlyTek, Infosys, Albert Technologies & Megvii Technology.

Be the first to tap the potential that Global Artificial Intelligence in BFSI market is holding in it. Uncover the Gaps and Opportunities to derive most useful insights from our research publication to outpace market.

Click to get Global Artificial Intelligence in BFSI Market Research Sample PDF Copy Here @: https://www.htfmarketreport.com/sample-report/1884437-global-artificial-intelligence-in-bfsi-market

Analyst at HTF MI have classified and compiled the research data with both perspective i.e. Qualitative and Quantitative.

    Quantitative Data:



Market Data breakdown by key geographies, Type & Application/End-users

• Artificial Intelligence in BFSI Market Revenue & Growth Rate by Type [, On-Premise & Cloud-based] (Historical & Forecast)

• Artificial Intelligence in BFSI Market Revenue & Growth Rate by Application [Voice Processing, Text Processing, Image Processing & Other] (Historical & Forecast)

• Artificial Intelligence in BFSI Market Revenue & Growth Rate by Each Region Specified (Historical & Forecast)

• Artificial Intelligence in BFSI Market Volume & Growth Rate by Each Region Specified, Application & Type (Historical & Forecast)

• Artificial Intelligence in BFSI Market Revenue, Volume & Y-O-Y Growth Rate by Players (Base Year)

    Qualitative Data:



It would include chapter’s specific to market dynamics and the influencing factors affecting or driving the growth of the market. To list few names of sections involved are

• Industry Overview

• Global Artificial Intelligence in BFSIMarket Growth Drivers

• Global Artificial Intelligence in BFSIMarket Trend

• Restraints

• Opportunities in Artificial Intelligence in BFSI Market

• Market Entropy** [Special Designed to highlight Market Aggressiveness]

• PESTEL Analysis

• Porters Five Forces Model

• Patent & Trademark Analysis** [Licenses & Approvals by Players & Duration of Market Life Cycle]

• Competitive Landscape (SWOT Analysis by Players/Manufacturers)

• Artificial Intelligence in BFSI Market Development and Insights etc. [Covers Product/Service Launch, Innovation etc]

• Investment & Project Feasibility Study**

• Regulatory Framework

** May vary depending upon availability and feasibility of data with respect to Industry targeted

Detailed competitive landscape is Covered to highlight important parameters that players are gaining along with the product/service evolution

• % Market Share, Revenue for each profiled company [IBM, Baidu, Brighterion, Microsoft, Google, SAP, Intel, IPsoft, NVIDIA, MicroStrategy, IFlyTek, Infosys, Albert Technologies & Megvii Technology]

• Consumption, Capacity & Production by Players

• Business overview and Product/Service classification

• Swot Analysis

• Product/Service Landscape [Product/Service Mix with a comparative analysis]

• Recent Developments (Technology, Expansion, Manufacturing, R&D, Product Launch etc)

Get Discount of 15% on Immediate Purchase, Limited period Offer @ https://www.htfmarketreport.com/request-discount/1884437-global-artificial-intelligence-in-bfsi-market

Important Features that are under offering & key highlights of the Artificial Intelligence in BFSI market report:

1) What Market data breakdown/segmentation does basic version of this report covers in addition to players?

Global Artificial Intelligence in BFSI Product Types In-Depth: , On-Premise & Cloud-based

Global Artificial Intelligence in BFSI Major Applications/End users: Voice Processing, Text Processing, Image Processing & Other

Geographical Analysis: United States, Europe, China, Japan, Southeast Asia, India & Central & South America

2) What all companies are currently profiled in the report?

Following are list of players that are currently profiled in the the report “IBM, Baidu, Brighterion, Microsoft, Google, SAP, Intel, IPsoft, NVIDIA, MicroStrategy, IFlyTek, Infosys, Albert Technologies & Megvii Technology”

** List of companies mentioned may vary in the final report subject to Name Change / Merger etc.

3) Can we add or profiled new company as per our need?

Yes, we can add or profile new company as per client need in the report. Final confirmation to be provided by research team depending upon the difficulty of survey.

** Data availability will be confirmed by research in case of privately held company. Upto 3 players can be added at no added cost.

Buy Full Copy Global Artificial Intelligence in BFSI Report 2018 @ https://www.htfmarketreport.com/buy-now?format=1&report=1884437

4) What all regional segmentation covered? Can specific country of interest be added?

Currently, research report gives special attention and focus on following regions:

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

** One country of specific interest can be included at no added cost. For inclusion of more regional segment quote may vary.

5) Can inclusion of additional Segmentation / Market breakdown is possible?

Yes, inclusion of additional segmentation / Market breakdown is possible subject to data availability and difficulty of survey. However a detailed requirement needs to be shared with our research before giving final confirmation to client.

** Depending upon the requirement the deliverable time and quote will vary.

To comprehend Global Artificial Intelligence in BFSI market dynamics in the world mainly, the worldwide Artificial Intelligence in BFSI market is analyzed across major global regions. HTF MI also provides customized specific regional and country-level reports for the following areas.

• North America: United States, Canada, and Mexico.

• South & Central America: Argentina, Chile, and Brazil.

• Middle East & Africa: Saudi Arabia, UAE, Turkey, Egypt and South Africa.

• Europe: UK, France, Italy, Germany, Spain, and Russia.

• Asia-Pacific: India, China, Japan, South Korea, Indonesia, Singapore, and Australia.

Browse for Full Report at @: https://www.htfmarketreport.com/reports/1884437-global-artificial-intelligence-in-bfsi-market

Actual Numbers & In-Depth Analysis, Business opportunities, Market Size Estimation Available in Full Report.

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

About Author:

HTF Market Report is a wholly owned brand of HTF market Intelligence Consulting Private Limited. HTF Market Report global research and market intelligence consulting organization is uniquely positioned to not only identify growth opportunities but to also empower and inspire you to create visionary growth strategies for futures, enabled by our extraordinary depth and breadth of thought leadership, research, tools, events and experience that assist you for making goals into a reality. Our understanding of the interplay between industry convergence, Mega Trends, technologies and market trends provides our clients with new business models and expansion opportunities. We are focused on identifying the “Accurate Forecast” in every industry we cover so our clients can reap the benefits of being early market entrants and can accomplish their “Goals & Objectives”.



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SoftBank’s AI-Focused Vision Fund 2 May Actually Be Dangerous for AI

… venture capital going into AI companies globally, per calculations by The Wall Street Journal and the MoneyTree report from PwC and CB Insights.
Masayoshi Son

Masayoshi Son, chairman and CEO of SoftBank Group Corp. Alessandro Di Ciommo/NurPhoto via Getty Images

Common sense tells us that when something grows too fast, it’s usually not a good thing. And that’s exactly what the bubbly space of artificial intelligence looks like right now.

In the past five years, the number of privately-owned AI companies that received venture capital funding have grown more than 500%, and the average funding size has almost tripled. And despite industry insiders’ repeated warning of a forming “AI bubble,” the frontrunners in this cash-pumping game have shown no signs of slowing down.

SEE ALSO: What Microsoft’s $1 Billion Investment in OpenAI Could Achieve

Last month, Japanese investment powerhouse SoftBank Group, which turned Silicon Valley upside down in 2017 and 2018 with its $100 billion Vision Fund, announced that it was ready to launch a second Vision Fund and already had $108 billion secured from upstream investors.

Unlike the first Vision Fund, which touched private companies in a wide range of industries, the Vision Fund 2 will focus exclusively on AI companies.

At $108 billion, that commitment would be equivalent to the total VC dollars raised by U.S. companies in all industries last year and five times the amount of venture capital going into AI companies globally, per calculations by The Wall Street Journal and the MoneyTree report from PwC and CB Insights.

While it’s one thing to have the money ready to fuel an emerging technology like AI, it quite another to know whether the pace of technological advancement will actually catch up with investors’ untamed enthusiasm.

Riding a wave of media craze over AI, businesses increasingly label themselves as AI companies to woo customers as well as investors.

“It’s very clear that [AI] has become a marketing thing,” Philipp Gerbert, a Germany-based AI expert with Boston Consulting Group, said in a recent interview with the Journal.

Earlier this year, a study of roughly 3,000 companies in Europe found that only half of the self-described AI companies actually had valuable AI technology. Similar findings were seen in China, too, where A.I. was thought to be a core component in the Chinese government’s “Made in China 2025” mission. Former Google executive-turned-venture capitalist Kai-Fu Leetold local media that he’d seen extreme cases such as an underwear manufacturer branding itself as an AI company, which he said was “abnormal.”

That said, SoftBank founder and CEO Masayoshi Son is too much of an optimist to be distracted by those worries.

“Within 30 years, definitely, things will be flying,” Son told CNBC in March. “Things will be running much faster without accident. We will be living much longer, much healthier. The diseases that we could not solve in the past will be cured.”

Also speaking to the Journal, San Francisco-based entrepreneur Chris Nicholson, CEO of deep learning startup Skymind, said he’s excited about the technological progress SoftBank’s new mega fund could bring about, but he’s doubtful on how fairly AI companies would be valued from a business standpoint.

“Now we have $100 billion that are set to chase and support AI, and they obviously won’t be investing in Google and Microsoft. So this will create new centers of AI progress. And that’s healthy,” he said. “I have no doubt this new fund will accelerate the development of AI. The question is, who is going to value these startups higher than SoftBank? What’s the exit plan?”

SoftBank’s AI-Focused Vision Fund 2 May Actually Be Dangerous for AI

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Crown Sterling Unveils TIME AI™ – the World’s First ‘Non-factor’ Based Quantum Encryption …

LAS VEGAS–(BUSINESS WIRE)–Crown Sterling, a leading digital cryptography firm, today unveiled TIME AI™, the world’s first dynamic ‘non-factor’ …

LAS VEGAS–(BUSINESS WIRE)–Crown Sterling, a leading digital cryptography firm, today unveiled TIME AI™, the world’s first dynamic ‘non-factor’ based quantum AI encryption software to protect data privacy for consumers and enterprise systems – www.timeai.io. TIME AI™ is based on the recent discovery from Crown Sterling’s Founder and CEO, Robert E. Grant, in which he recently identified the first Infinite Prime Number prediction pattern.

Utilizing multi-dimensional encryption technology, including time, music’s infinite variability, artificial intelligence, and most notably mathematical constancies to generate entangled key pairs, TIME AI™ is designed to wrap around all data and applications to secure the world’s most valuable asset — data. Crown Sterling is demonstrating TIME AI™ this week at Black Hat 2019 in Las Vegas at the Mandalay Bay Convention Center, Booth Number 1304.

“Today’s introduction of Crown Sterling’s TIME AI™ will transform the way we secure data, currently the world’s most valuable asset,” said Grant. “We believe whomever creates the data leading to its value should have the ability to control it and its value creation. Consumers’ primary concerns are privacy and identity theft, while enterprises value data security. Either way, they face the same challenge: how to better protect and control their data and its dissemination.”

In March of 2019, Grant identified the first Infinite Prime Number prediction pattern, where the discovery was published on Cornell University’s www.arXiv.org titled: “Accurate and Infinite Prime Number Prediction from Novel Quasi-Prime Analytical Methodology.” The paper was co-authored by Physicist and Number Theorist Talal Ghannam PhD. The discovery challenges today’s current encryption framework by enabling the accurate prediction of prime numbers.

Grant will also give a presentation at Black Hat titled, “Discovery of Quasi-Prime Numbers: What Does this Mean for Encryption?” related to his paper published through Cornell University. Grant’s presentation will take place on Thursday, August 8, 2019, from 1:20 – 2:10 PM at Mandalay Bay Convention Center, Oceanside F.

ABOUT CROWN STERLING

Crown Sterling is a leading digital cryptography firm based in Newport Beach, California and is part of the Strathspey Crown portfolio of transformational businesses, focused on the most complex sectors of healthcare, energy, and technology. For more information on Strathspey Crown, please visit www.strathspeycrown.com. For more information on Crown Sterling, please visit www.crownsterling.io, and to learn more about TIME AI™, please visit www.timeai.io.

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Crown Sterling’s CEO Robert E. Grant to Speak About the Discovery of Quasi-Prime Numbers and …

Crown Sterling Unveils TIME AI™ – The World’s First ‘Non-Factor’ Based Quantum Encryption Technology in Booth #1304. Black Hat USA 2019 …

LAS VEGAS–(BUSINESS WIRE)–

Crown Sterling Unveils TIME AI – The World’s First ‘Non-Factor Based Quantum Encryption Technology in Booth #1304

Black Hat USA 2019 – Crown Sterling, a leading digital cryptography firm, is exhibiting at Black Hat USA 2019 this week in Las Vegas, Nevada, in Booth Number 1304.

Crown Sterling’s Founder and CEO, Robert E. Grant, is speaking about the discovery of quasi-prime numbers and what it means for encryption. The presentation is based on a paper published in March of 2019 where Grant identified the first Infinite Prime Number prediction pattern. The discovery was published on Cornell University’s www.arXiv.org titled: “Accurate and Infinite Prime Number Prediction from Novel Quasi-Prime Analytical Methodology.” The paper was co-authored by Physicist and Number Theorist Talal Ghannam, PhD. The discovery challenges today’s current encryption framework by enabling the accurate prediction of prime numbers.

Grant will also provide details on the company’s introduction of TIME AI™, the world’s first dynamic ‘non-factor’ based AI encryption software to protect data privacy for consumers and enterprise systems – www.timeai.io.

See below for more details on the presentation:

WHAT: Discovery of Quasi-Prime Numbers: What Does this Mean for Encryption?

WHO: Robert E. Grant, CEO, Crown Sterling

WHEN: Thursday, August 8, 2019, 1:20 – 2:10 PM

WHERE: Mandalay Bay Convention Center, Oceanside F

Crown Sterling is a leading digital cryptography firm based in Newport Beach, California, and is part of the Strathspey Crown portfolio of transformational businesses, focused on the most complex sectors of healthcare, energy and technology. For more information on Strathspey Crown, please visit www.strathspeycrown.com. For more information on Crown Sterling, please visit www.crownsterling.io, and to learn more about TIME AI™, please visit www.timeai.io.

Reporters and analysts interested in speaking with Robert E. Grant and additional Crown Sterling executives are encouraged to contact Crown Sterling public relations.

View source version on businesswire.com: https://www.businesswire.com/news/home/20190807005165/en/

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New Darwin v2.0 Enables Quick-built Custom Models from Scratch

… above others in the market and enables invaluable business insights.” … years in a row on CB Insights AI 100 by visiting www.sparkcognition.com.

Press Release Summary:

  • Ability to capture complex relationships over time and make predictions using LSTM and TCN Architectures
  • Increased control over the model building process preserves the accuracy and performance of models
  • Automated data quality checks that highlight problems in a dataset and offers solutions to any errors encountered

Original Press Release:

SparkCognition’s Release of Darwin™ 2.0 Brings Increased Speed and Scalability to Automated Model Building

The updated product will empower data scientists, data and business analysts, software developers, and SMEs to quickly build custom models and solve problems at scale

Austin, Texas, Aug. 6, 2019 /PRNewswire/ — SparkCognition, a global artificial intelligence (AI) company, today announced version 2.0 of its automated machine learning (AutoML) product, Darwin. The new version significantly improves the user’s experience and capabilities within the platform by expediting the data preparation process and automating the model building process with intuitive workflows.

“The release of Darwin v2.0 marks a significant milestone in our product roadmap and our endeavor to accelerate automated extraction of insights from data and improve the productivity of data scientists,” said Sridhar Sudarsan, Chief Technology Officer at SparkCognition. “This iteration delivers extensive enhancements on a strong foundation by adding data transformation and additional modeling approaches with an immersive user experience to solve complex problems at scale.”

Automated machine learning is changing data science, as it automates the process of building, testing, deploying, and maintaining models for a dataset. Darwin provides an intuitive environment that takes users quickly from data to meaningful results, which enables organizations to scale the adoption of data science across teams, and the implementation of machine learning applications across operations, becoming data-driven enterprises.

“We recently announced that we would be the partner to deliver SparkCognition’s Darwin product to Japan and other Asian countries,” said Masahiro Taniguchi, President of Hitachi High-Tech Solutions. “I am excited that Hitachi High-Tech Solutions’ data scientists are using Darwin and our cloud service to support our customers to solve problems and enhance business efficiency. We chose SparkCognition’s automated model building product, Darwin, over the competition because the product stands above others in the market and enables invaluable business insights.”

Darwin v2.0 features include:

  • Automated data quality checks that highlight problems in a dataset and offers solutions to any errors encountered
  • Improved neuro-evolutionary engine that enables quickly-built custom models from scratch
  • Increased control over the model building process that preserves the accuracy and performance of models
  • State-of-the-art genetic time series forecasting algorithms and sequence-to-sequence models capable of predicting multiple time horizons
  • Enhanced ability to capture complex relationships over time and make predictions using long short-term memory (LSTM) and temporal convolutional network (TCN) architectures

With these new and improved features, Darwin enables data scientists, data and business analysts, software developers, and SMEs to prepare their datasets and custom-build models from scratch much faster than before. These models are tailored to the given dataset by considering its complex relationships and intricacies, and quickly evaluating hundreds of generations of model architectures to optimize from.

“We are incredibly proud of Darwin’s powerful capabilities and the significant innovation that has gone into the product. It is fast becoming the leading data science automation platform,” said Amir Husain, Founder and CEO at SparkCognition. “By using AI to build AI, Darwin reduces the cost of model development and allows our customers to implement AI at scale through their enterprise. Version 2.0 takes an already robust product to the next level.”

Learn more about Darwin 2.0 at www.sparkcognition.com/product/Darwin

About SparkCognition:

With award-winning machine learning technology, a multinational footprint, and expert teams focused on defense, IIoT, and finance, SparkCognition builds artificial intelligence systems to advance the most important interests of society. Our customers are trusted with protecting and advancing lives, infrastructure, and financial systems across the globe. They turn to SparkCognition to help them analyze complex data, empower decision making, and transform human and industrial productivity. With our leading edge artificial intelligence platforms, our clients can adapt to a rapidly changing digital landscape and accelerate their business strategies. Learn more about SparkCognition’s AI applications and why we’ve been featured in CNBC’s 2017 Disruptor 50 and recognized three years in a row on CB Insights AI 100 by visitingwww.sparkcognition.com.

For Media Inquiries:

John King

SparkCognition

jking@sparkcognition.com

512-956-5491

Source SparkCognition

Web Site: http://www.sparkcognition.com

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