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  • hpewebmaster
    28.07.2021 - 13 minutes ago
    #ai solutions #enterprise artificial intelligence #artificial intelligence solutions
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  • dailytechnologynews
    28.07.2021 - 17 minutes ago

    'A gag order for life' - How nondisclosure agreements silence and control workers in Silicon Valley. https://ift.tt/3iZ9SbE

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  • secoperations
    28.07.2021 - 30 minutes ago

    Lazarus campaign TTPs and evolution

    Lazarus campaign TTPs and evolution

    Executive summary AT&T Alien Labs™ has observed new activity that has been attributed to the Lazarus adversary group potentially targeting engineering job candidates and/or employees in classified engineering roles within the U.S. and Europe. This assessment is based on malicious documents believed to have been delivered by Lazarus during the last few months (spring 2021). However, historical…

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  • donnabedwell
    28.07.2021 - 35 minutes ago

    3 Major Impacts Of AI On Business

    Artificial intelligence is disrupting how companies operate. A significant number of enterprises, big and small, harness the power of Artificial Intelligence to analyze big data, predict patterns, make better decisions, and improve customer interactions. As companies enter the new age of technology and digitization, it has become inevitable for them to build an effective AI strategy aligning it with their business objectives and models. As a result, AI enables businesses to thrive in the marketplace and open up new avenues for growth and innovation. 

     Companies use AI for data, analytics, and automation to perform business operations with better accuracy and agility. It helps break down siloes within the business landscape and improve efficiency and effectiveness to create adaptive processes. It helps to optimize routine tasks and provides better opportunities to save time and money. Moreover, the ability of AI to streamline enables the stakeholder to make faster and reliable data-driven business decisions to know what is working well for the business in real-time. Artificial Intelligence company helps industries to integrate business-centric AI models.

     It enables companies to use intelligent tools and technologies for performing routine-intensive operations involving language and pattern recognition and meet the business goals. The impact of AI on business is profound. It is transforming the commercial market in the following ways.

     Use Of AI In Hiring

     Hiring quality employees is crucial for the success of a business. It enables a company to run efficiently and grow over time. However, recruitment is a tedious and time-consuming task. AI helps recruiters to develop a proactive approach in the hiring process. It can automate aspects of the recruitment process and remove bias while determining the candidate’s cultural fit. Using AI, the recruiter can automatically source high-quality talent based on key job criteria and skills. It helps to bring in diversity and choose the right fit from a large pool of potential candidates.

     Customer Engagement

     AI is facilitating a better understanding of the customers. It is changing customer service dynamics by enabling companies to bridge the gap between customers and brands. AI helps to improve the digital experience of customers through chatbots and virtual assistants. Hence, while navigating the app, or web page, if the customer faces any latency or doubts, they can easily access the chatbot to get real-time help. 

     Moreover, data enables businesses to predict customer behavior and channel their efforts on the right group, which shows better conversion rates. Data analytics and automation are enabling enterprises to provide personalized services to customers for better engagement and experience.

     Data, And More Data

     Data is undoubtedly the most significant organizational asset. It is at the center of all business operations and decisions. With the advent of AI in business workflow, data modeling, unification, visualization, and analysis have become convenient, accessible, and cost-effective. It helps to gather actionable insights in real-time. AI can develop meaningful relationships in large data sets in no time. The increased speed with which it can reveal insights in improving the efficiency and quality of business operations.

     To Conclude:

     AI is initiating a holistic journey for companies to make a positive impact in the marketplace. It enables the stakeholders to improve the bottom line and drive in more revenue, profitability, and customer lifetime value.

    #Artificial Intelligence company impact of AI on business
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  • wiseguywg
    28.07.2021 - 36 minutes ago

    AI in Banking AMERICAS Market Research Report 2021-2028

    This report elaborates the market size, market characteristics, and market growth of the AI in Banking industry, and breaks down according to the type, application, and consumption area of AI in Banking. The report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.

    In Chapter 3.4 of the report, the impact of the COVID-19 outbreak on the industry was fully assessed. Fully risk assessment and industry recommendations were made for AI in Banking in a special period. This chapter also compares the markets of Pre COVID-19 and Post COVID-19. In addition, chapters 8-12 consider the impact of COVID-19 on the regional economy.

    Also Read: https://www.marketwatch.com/story/ai-in-banking-market-research-report-with-size-share-value-cagr-outlook-analysis-latest-updates-data-and-news-2021-2028-2021-07-12

    Key players in the global AI in Banking market covered in Chapter 13: Salesforce.com, Inc CognitiveScale, Inc. Google LLC Comply Advantage ABB Interaction LLC Blue Frog Robotics Avaamo, Inc. Intel Digital Reasoning, Inc. IBM Oracle Corporation Fanuc Lexalytics, Inc. Cisco Systems Hanson Robotics ZestFinance, Inc. Amazon Web Services (AWS) Ipsoft, Inc Baidu, Inc.

    In Chapter 6, on the basis of types, the AI in Banking market from 2015 to 2025 is primarily split into: Hardware Software Services

    In Chapter 7, on the basis of applications, the AI in Banking market from 2015 to 2025 covers: Analytics Chatbots Robotic Process Automation (RPA) Others

    Geographically, the detailed analysis of production, trade of the following countries is covered in Chapter 4.2, 5: United States Europe China Japan India

    Also Read: https://www.marketwatch.com/story/industrial-inkjet-printers-market-research-report-with-size-share-value-cagr-outlook-analysis-latest-updates-data-and-news-2021-2026-2021-07-15

    Geographically, the detailed analysis of consumption, revenue, market share and growth rate of the following regions are covered in Chapter 8, 9, 10, 11, 12: North America (Covered in Chapter 8) United States Canada Mexico Europe (Covered in Chapter 9) Germany UK France Italy Spain Others Asia-Pacific (Covered in Chapter 10) China Japan India South Korea Southeast Asia Others Middle East and Africa (Covered in Chapter 11) Saudi Arabia UAE South Africa Others South America (Covered in Chapter 12) Brazil Others

    Also Read: https://www.marketwatch.com/story/soluble-glass-market-research-report-with-size-share-value-cagr-outlook-analysis-latest-updates-data-and-news-2021-2028-2021-07-16-81751740

    Years considered for this report: Historical Years: 2015-2019 Base Year: 2019 Estimated Year: 2020 Forecast Period: 2020-2025

    Table of Content

    1 AI in Banking Market - Research Scope 1.1 Study Goals 1.2 Market Definition and Scope 1.3 Key Market Segments 1.4 Study and Forecasting Years

    2 AI in Banking Market - Research Methodology 2.1 Methodology 2.2 Research Data Source 2.2.1 Secondary Data 2.2.2 Primary Data 2.2.3 Market Size Estimation 2.2.4 Legal Disclaimer

    3 AI in Banking Market Forces 3.1 Global AI in Banking Market Size 3.2 Top Impacting Factors (PESTEL Analysis) 3.2.1 Political Factors 3.2.2 Economic Factors 3.2.3 Social Factors 3.2.4 Technological Factors 3.2.5 Environmental Factors 3.2.6 Legal Factors 3.3 Industry Trend Analysis 3.4 Industry Trends Under COVID-19 3.4.1 Risk Assessment on COVID-19 3.4.2 Assessment of the Overall Impact of COVID-19 on the Industry 3.4.3 Pre COVID-19 and Post COVID-19 Market Scenario 3.5 Industry Risk Assessment

    4 AI in Banking Market - By Geography 4.1 Global AI in Banking Market Value and Market Share by Regions 4.1.1 Global AI in Banking Value ($) by Region (2015-2020) 4.1.2 Global AI in Banking Value Market Share by Regions (2015-2020) 4.2 Global AI in Banking Market Production and Market Share by Major Countries 4.2.1 Global AI in Banking Production by Major Countries (2015-2020) 4.2.2 Global AI in Banking Production Market Share by Major Countries (2015-2020) 4.3 Global AI in Banking Market Consumption and Market Share by Regions 4.3.1 Global AI in Banking Consumption by Regions (2015-2020) 4.3.2 Global AI in Banking Consumption Market Share by Regions (2015-2020)

    5 AI in Banking Market - By Trade Statistics 5.1 Global AI in Banking Export and Import 5.2 United States AI in Banking Export and Import (2015-2020) 5.3 Europe AI in Banking Export and Import (2015-2020) 5.4 China AI in Banking Export and Import (2015-2020) 5.5 Japan AI in Banking Export and Import (2015-2020) 5.6 India AI in Banking Export and Import (2015-2020) 5.7 ...

    6 AI in Banking Market - By Type 6.1 Global AI in Banking Production and Market Share by Types (2015-2020) 6.1.1 Global AI in Banking Production by Types (2015-2020) 6.1.2 Global AI in Banking Production Market Share by Types (2015-2020) 6.2 Global AI in Banking Value and Market Share by Types (2015-2020) 6.2.1 Global AI in Banking Value by Types (2015-2020) 6.2.2 Global AI in Banking Value Market Share by Types (2015-2020) 6.3 Global AI in Banking Production, Price and Growth Rate of Hardware (2015-2020) 6.4 Global AI in Banking Production, Price and Growth Rate of Software (2015-2020) 6.5 Global AI in Banking Production, Price and Growth Rate of Services (2015-2020)

    7 AI in Banking Market - By Application 7.1 Global AI in Banking Consumption and Market Share by Applications (2015-2020) 7.1.1 Global AI in Banking Consumption by Applications (2015-2020) 7.1.2 Global AI in Banking Consumption Market Share by Applications (2015-2020) 7.2 Global AI in Banking Consumption and Growth Rate of Analytics (2015-2020) 7.3 Global AI in Banking Consumption and Growth Rate of Chatbots (2015-2020) 7.4 Global AI in Banking Consumption and Growth Rate of Robotic Process Automation (RPA) (2015-2020) 7.5 Global AI in Banking Consumption and Growth Rate of Others (2015-2020)

    8 North America AI in Banking Market 8.1 North America AI in Banking Market Size 8.2 United States AI in Banking Market Size 8.3 Canada AI in Banking Market Size 8.4 Mexico AI in Banking Market Size 8.5 The Influence of COVID-19 on North America Market

    9 Europe AI in Banking Market Analysis 9.1 Europe AI in Banking Market Size 9.2 Germany AI in Banking Market Size 9.3 United Kingdom AI in Banking Market Size 9.4 France AI in Banking Market Size 9.5 Italy AI in Banking Market Size 9.6 Spain AI in Banking Market Size 9.7 The Influence of COVID-19 on Europe Market

    10 Asia-Pacific AI in Banking Market Analysis 10.1 Asia-Pacific AI in Banking Market Size 10.2 China AI in Banking Market Size 10.3 Japan AI in Banking Market Size 10.4 South Korea AI in Banking Market Size 10.5 Southeast Asia AI in Banking Market Size 10.6 India AI in Banking Market Size 10.7 The Influence of COVID-19 on Asia Pacific Market

    11 Middle East and Africa AI in Banking Market Analysis 11.1 Middle East and Africa AI in Banking Market Size 11.2 Saudi Arabia AI in Banking Market Size 11.3 UAE AI in Banking Market Size 11.4 South Africa AI in Banking Market Size 11.5 The Influence of COVID-19 on Middle East and Africa Market

    12 South America AI in Banking Market Analysis 12.1 South America AI in Banking Market Size 12.2 Brazil AI in Banking Market Size 12.3 The Influence of COVID-19 on South America Market

    13 Company Profiles 13.1 Salesforce.com, Inc 13.1.1 Salesforce.com, Inc Basic Information 13.1.2 Salesforce.com, Inc Product Profiles, Application and Specification 13.1.3 Salesforce.com, Inc AI in Banking Market Performance (2015-2020) 13.2 CognitiveScale, Inc. 13.2.1 CognitiveScale, Inc. Basic Information 13.2.2 CognitiveScale, Inc. Product Profiles, Application and Specification 13.2.3 CognitiveScale, Inc. AI in Banking Market Performance (2015-2020) 13.3 Google LLC 13.3.1 Google LLC Basic Information 13.3.2 Google LLC Product Profiles, Application and Specification 13.3.3 Google LLC AI in Banking Market Performance (2015-2020) 13.4 Comply Advantage 13.4.1 Comply Advantage Basic Information 13.4.2 Comply Advantage Product Profiles, Application and Specification 13.4.3 Comply Advantage AI in Banking Market Performance (2015-2020) 13.5 ABB 13.5.1 ABB Basic Information 13.5.2 ABB Product Profiles, Application and Specification 13.5.3 ABB AI in Banking Market Performance (2015-2020) 13.6 Interaction LLC 13.6.1 Interaction LLC Basic Information 13.6.2 Interaction LLC Product Profiles, Application and Specification 13.6.3 Interaction LLC AI in Banking Market Performance (2015-2020) 13.7 Blue Frog Robotics 13.7.1 Blue Frog Robotics Basic Information 13.7.2 Blue Frog Robotics Product Profiles, Application and Specification 13.7.3 Blue Frog Robotics AI in Banking Market Performance (2015-2020)

    …….Continued

    CONTACT DETAILS :

    sales@wiseguyreports.com

    +44 203 500 2763

    +1 62 825 80070

    971 0503084105

    #AI in Banking
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  • vladbot
    28.07.2021 - 51 minutes ago

    Ah, my love well. And I am your casrasoing conscecular. [He has agread and takes Vlad and Such a pinket plann me!

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  • secoperations
    28.07.2021 - 1 hour ago

    REvil’s new Linux version

    REvil’s new Linux version

    This blog was jointly authored with Ofer Caspi. Executive summary The ransomware-as-a-service (RaaS) operation behind REvil have become one of the most prolific and successful threat groups since the ransomware first appeared in May 2019. REvil has been primarily used to target Windows systems. However, new samples have been identified targeting Linux systems. AT&T Alien Labs™ is closely…

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  • secoperations
    28.07.2021 - 1 hour ago

    Anomali Cyber Watch: APT31 Targeting French Home Routers, Multiple Microsoft Vulnerabilities, StrongPity Deploys Android Malware, and More

    Anomali Cyber Watch: APT31 Targeting French Home Routers, Multiple Microsoft Vulnerabilities, StrongPity Deploys Android Malware, and More

    The various threat intelligence stories in this iteration of the Anomali Cyber Watch discuss the following topics: APT, Cryptojacking, Downloaders, Malspam, RATs, and Vulnerabilities. The IOCs related to these stories are attached to Anomali Cyber Watch and can be used to check your logs for potential malicious activity. Figure 1 – IOC Summary Charts. These charts summarize the IOCs attached to…

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  • dannyphantombot
    28.07.2021 - 2 hours ago

    I won't have to stop him before I really change him.

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