Category Archives: Automation

Genpact's global study,Finance and Accounting: Unleashing Transformation, surveyed more than 500 chief financial officers (CFOs) and other senior finance executives on business innovation issues. The research reveals that finance organizations are well positioned to deliver strategic insights from the ever-increasing amount of data that businesses manage today; however, most finance teams are not fully implementing the advanced technologies necessary to drive transformation for competitive growth.

When it comes to meeting business expectations to generate actionable insights from company data, not a single survey respondent states that their function can do so significantly; 58% say that finance just somewhat delivers insights. Moreover, none of the executives say they have a structured way to generate predictive insights to meet businesses' changing and varied demands. None also are using AI, analytics, and automation to fundamentally reimagine their finance function.

"Finance organizations can be critical transformation engines for their enterprises, but they're currently not firing on all cylinders," said Katie Stein, chief strategy officer and global business leader, Enterprise Services, Genpact. "CFOs and their teams must champion the change necessary to drive innovation and compete effectively in a data-dominated and digital-first world."

Genpact's study reveals that customer experience is the number one corporate priority, ahead of increasing cash flow and driving revenue growth. This is reflected in businesses' expectations from the finance function in the next two years, where enhancing the experience for customers, suppliers, and employees comes out on top. While most survey respondents believe they are somewhat improving these experiences, only 1% say they are significantly meeting this expectation.

To support strategic business goals, the finance function must evolve to become the company's enterprise data guardian. Genpact's research demonstrates that finance organizations are making inroads, with nearly half (49%) agreeing this is their role, although only 7% strongly agree.

Despite, or perhaps even because of, technology-implementation issues, the executives surveyed recognize the importance of embracing AI, analytics, and automation when recruiting talent. The top two skillsets that finance organizations most urgently seek are knowledge of advanced digital technologies and data-science skills, both of which top traditional finance and accounting capabilities.

"The need for new skills is clear not just for finance operations alone, but more importantly, for the function to enable enterprise transformation," said Stein. "CFOs and their teams can lead as strategic partners and provide faster, smarter access to critical data. The opportunity is there. It's up to finance executives to implement digital technologies and analytics more effectively, combining their domain expertise to deliver business insights that drive competitive growth."

To learn more, visit Genpact's website for the complete report, Finance and Accounting: Unleashing Transformation.

About the studyGenpact worked with the research firm Longitude to conduct the study via an email invitation and online survey. The study represents views of 516 C-suite and senior finance executives at companies across 11 countries: United States, United Kingdom, Japan, Australia, Norway, France, Germany, Netherlands, Sweden, Switzerland, and Denmark. Respondents work at companies with revenues from $500 million to over $50 billion. Of the surveyed executives, 25% are chief financial officers.

About GenpactGenpact (NYSE: G) is a global professional services firm that makes business transformation real. We drive digital-led innovation and digitally-enabled intelligent operations for our clients, guided by our experience running thousands of processes primarilyfor Global Fortune 500 companies. We think with design, dream in digital, and solve problems with data and analytics. Combining our expertise in end-to-end operations and our AI-based platform, Genpact Cora, we focus on the details all 90,000+ of us.From New York to New Delhi and more than 30 countries in between, we connect every dot, reimagine every process, and reinvent companies' ways of working. We know that reimagining each step from start to finish creates better business outcomes. Whatever it is, we'll be there with you accelerating digital transformation to create bold, lasting results because transformation happens here. Get to know us at Genpact.comand on LinkedIn, Twitter, YouTube, andFacebook.

SOURCE Genpact

http://www.genpact.com

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Only 13% of Finance Organizations Use Artificial Intelligence, Analytics, and Automation for Enterprise-wide Transformation, According to Genpact...

Robots, easy-clean machine designs and self-contained automation devices were on packaging engineers wish lists this yearas evidenced by their interest in news about packaging equipment delivering production benefits, thanks to these features.

Based on page views, here are the top three packaging-machinery-related articles we posted over the last year, starting from the third article and moving up to No.1:

OnRobot's Gecko Gripper.

3. 3 automation trends transforming packaging operations

After visiting exhibitors at WestPack 2019 and its co-located sister show Automation Technology Expo (ATX) West, we noticed this trio of trends changing the design and performance of your packaging lines:

1. Self-contained devices are easy to install and use, like these three we saw at the show:

The Bosch Rexroth XDK sensorcalled the Swiss Army Knife of sensorsis eight sensors in one box.

OnRobots VG10 vacuum gripper has a built-in pump so there are no hoses to work around.

The concept of decentralized power extends to full packaging machines, too. For example, PDC Intl. is developing a steam tunnel for full-body shrink sleeve labels that has integrated boilers.

2. Cobot peripherals lead the way. One example is OnRobots Gecko Gripper (see photo above), which uses pressure and motion (adhesion by force) to pick up packageswithout an air system.

3. Artificial intelligence (A-I) excels as an engineering aidor does it?

In his presentation The Power of Perseverance, rocket scientist and inventive engineer Lonnie Johnson, CEO of Johnson Battery Technologies, hailed artificial intelligence for its myriad benefits. But when questioned about his own work preferences, he admitted that he doesnt want to use AI because that would take all the fun out of solving an engineering problem. Do you agree?

NEXT: 8 impressive developments in packaging automation

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Packaging machinery and automation hits of 2019 - Packaging Digest

Next year, Forresters Chris Gardner expects to see these transformative business trends take shape thanks to increasing deployment of automation.

While automation remains a major focus for many organisations, the biggest challenges in deploying automation arent with the technology itself.

According to recent Forrester polling of global data and analytics decision-makers: 25pc said their firm lacks an overall vision or strategy for automation; 26pc told us they face challenges with culture and change management; and 25pc believe there are gaps in their organisational structure, alignment and readiness.

Some of these trends will impact individual organisational units and toolsets, while others will change the future of work for everyone

The reasons behind these results are varied. In some cases, islands of automation form, where firms unknowingly use similar types of automation in different parts of the organisation. In other cases, the bottom-up deployment method prevents scale and leads to governance nightmares.

Overall, federated operating models are developing too slowly to keep pace with the growth of the technology.

With all of these trends continuing next year, we at Forrester are expecting some pretty dramatic automation-based events to unfold as well. Some of these trends will impact individual organisational units and tool sets, while others will change the future of work for everyone.

Whether your automation strategy and portfolio needs a retune or youre just getting started on your automation plans, its vitally important to prepare for 2020, because next year will be a transformative year for automation.

In 2020, 3.9pc of cubicle jobs will be cannibalised, while human-touch jobs (such as nursing) will grow by 0.62pc.

Tasks ranging from posting account ledgers to calculating HR benefits will be replaced by robotic process automation (RPA). Work that requires intuition, empathy and mental agility such as cross-domain knowledge workers, teachers and explainers will add 300,000 jobs to the economy.

After years of falling, MTTR (mean time to resolve) incidents will increase. The reason? All of the easy tasks have been automated.

To counter shrinking knowledge life cycles and growing Level 2 and Level 3 IT service desks, enterprises will try to address this paradox by applying site reliability engineering and tackling observability issues with new tools powered by artificial intelligence.

In between traditional IT and domain experts, unique strike teams are coming up in enterprises to address islands of automation. This practice will formalise in 2020.

These teams crewed with roles such as robot architects and automation jump-starters will standardise automation portfolios and accelerate user journey mapping. More importantly, they will form a key part of the purchasing cycle and will become a targeted persona for many automation vendors.

By Chris Gardner

Chris Gardner is a principal analyst serving infrastructure and operations professionals as they face the unique opportunities and challenges of automation, infrastructure-as-code, and the software-defined data centre.

Download Forresters Predictions 2020 guide for more information on the major dynamics that will impact firms next year.

A version of this article originally appeared on the Forrester blog.

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3 trends that automation will spur on in 2020 - Siliconrepublic.com

There are multiple reasons that tried-and-true IT management methods are not as useful or helpful as they once were. The talent skills gap, productivity problems, and expense are some of the factors. Though it may seem like a money-saving strategy to retain legacy infrastructure, in the long run, this strategy incurs higher maintenance costs. At the same time, there are now hundreds of thousands of assets and endpoints for IT staff to manage.

Any one of these reasons would be difficult on its own; together, they require a whole new paradigm for IT management to be successful going forward. Thats why many organizations are turning to Artificial Intelligence, Automation, and Machine Learning. Artificial Intelligence and Machine Learning offer a lot of opportunities to address these dueling situations and help improve IT service management overall. Lets examine the challenges that organizations are facing with respect to IT operations, as well as examples of how IT managers and directors can implement AI to improve their operations.

Read More: 13 Tips for Conquering Cognitive Document Automation Challenges to Maximize Productivity

A little over a decade ago, multiple technological changes occurred that paved the way for the widespread use of AI and Machine Learning: a reduction in the need for computing power, inexpensive parallel computing and the arrival of the huge datasets needed to train AI. Organizations can now create Systems of Intelligence that address business challenges and objectives. For IT and Enterprise Service Management, this includes objectives like improved customer experience, increased employee productivity, optimized operations, and reduced risk.

The potential impact of these technologies is significant. According to Forrester Research, by next year (2020), businesses that use AI and other emerging technologies will capture $1.2 trillion a year from their peers who dont. Similarly, Gartner predicts that in 2021, AI augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity.

Whenever new technologies emerge, confusion is bound to occur at first. The terms Automation and AI are often used interchangeably, but there are significant differences between the complexity level of both systems. Automation, as the name suggests, is about automating certain manual tasks in a repetitive, error-free manner without human intervention. Automation is basically making a hardware or software that can do things automaticallywithout human intervention.

John McCarthy defined artificial intelligence in 1956 quite differently: to make machines emulate human activities by use of language, form, abstractions, and concepts, to solve problems typically reserved for humans, and to improve themselves.

When combined, AI and Automation deliver business advantages. AI makes the decisions and Automation executes the actions in a repeatable manner. Together they can bring many benefits to ITSM:

Read More: Server-Side Platforms (SSPs) Take Note: 5 Things That Matter to Site Owners

A real-life example of the benefits of AI-enabled ITSM comes from the Greater Toronto Airports Authority (GTAA), which operates Toronto Pearson International Airport. Toronto Pearson serves almost 50 million passengers each year, making it Canadas busiest airport. With only 1,600 of its 50,000 employees handling management, operations and IT, the workload was keeping team members from addressing some tickets in a timely manner.

GTAA has many disparate operational responsibilities and must address many daily challenges, including:

To help improve its service, GTAA deployed an AI-based ITSM solution. The automated, rule-based workflow management that resulted ensures maintenance issues are addressed before they become passenger safety issues. The solution also enabled them to deliver enhanced customer experience, faster resolution of tickets and an improved CSAT.

GTAA gained greater operational insight through the solutions enhanced reporting. This helped drive proactive and prescriptive problem management. A highly intuitive service desk screen has resulted in a First Call Resolution rate of up to 81%, and a fully automated employee onboarding and termination Service Catalogue has reduced the total cycle time substantially.

With the increasing network speeds and number of endpoints, IT needs have exceeded the human scale. Organizations must transition to machine scale or risk extinction. Artificial Intelligence, particularly when combined with Automation, is transforming IT management in several ways. It both improves or replaces existing manual processes and makes the management of IT tasks more intelligent. These improvements result in better management and use of assets, greater customer satisfaction and quicker ticket resolution, among other benefits.

Read More: Turn Small Business Saturday Traffic into Future Sales: Five Ways the Right CRM Can Help

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How AI and Automation Are Joining Forces to Transform ITSM - AiThority

According to a new market report, the global smart & mobile supply chain solutions market was valued at $13,614.8 million in 2018 and is expected to reach $31,612.0 million by 2027, expanding at a CAGR 9.9% from 2019 to 2027.

These insights are based on a report on Smart and Mobile Supply Chain Solutions Market by Transparency Market Research.

According to the report, North America was the largest contributor in terms of revenue to the smart & mobile supply chain market in 2018. This expansion is primarily attributed to the rising adoption of smart and mobile supply chain solutions among small & medium enterprises and large enterprises in order to efficiently manage the flow of goods and services. Increasing demand for industrial automation and growth in e-commerce.

Smart & mobile supply chain solutions are integrated software applications aimed at providing complete business visibility, optimization of inventories, and synchronization of supply with demand & manufacturing.

Currently, competitive economic conditions are compelling industries to increase production in a cost-effective manner. This, in turn, is leading to a rise in the demand for smart & mobile supply chain solutions aimed at optimizing processes and supply chain. Need for quicker turnaround time and efficient utilization of resources is further driving the need for automation in industries. Therefore, increasing demand for industrial automation is a crucial factor boosting the smart & mobile supply chain solutions market across the world.

Furthermore, growth in e-commerce coupled with the need to deliver goods rapidly to gain competitive advantage have boosted the demand for smart & mobile supply chain solutions. Manufacturers are turning from traditional solutions to demand-driven solutions in order to efficiently meet e-commerce and Omni-channel challenges in the smart & mobile supply chain solutions market.

The global market for smart & mobile supply chain solutions has been segmented based on solution, enterprise size, industry, and geographic regions. In terms of solution, the market has been classified into Transportation Management Systems (TMS), Warehouse Management Systems (WMS), sourcing & procurement, supply chain planning, and manufacturing execution system.

Based on enterprise size, the market has been divided into small & medium enterprises and large enterprises. In terms of industry, the market has been split into third party logistics (3PL) and commercial. The commercial segment has been further sub-segmented into retail & consumer goods, IT & telecom, manufacturing, BFSI, government, energy & utilities, healthcare, transportation & logistics, and others (food & beverages and aerospace & defense).

Based on region, the global smart & mobile supply chain solutions market has been segregated into North America, Asia Pacific, Europe, South America, and Middle East & Africa. Among these regions, North America accounts for a prominent share, in terms of revenue, of the global smart & mobile supply chain solutions market.

Rapid digitization in the field of supply chain is a major factor boosting the market in the region. However, Asia Pacific and Europe are also projected to hold significant share of the global market during the forecast period. Europe is a prominent market for smart & mobile supply chain management solutions, globally, due to rising awareness about the advantages of smart solutions.

Evolving technologies coupled with significant cost reduction is a major factor driving the smart & mobile supply chain management solutions market in Europe. Emerging countries such as Brazil, Russia, China, and India are also fueling the demand for the smart & mobile supply chain solutions. Moreover, a rise in the demand for sourcing and procurement services for supply chain management is also boosting the market across the globe.

Key players operating in the global smart & mobile supply chain solutions market include:

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Increasing Demand for Industrial Automation a Key Factor to Drive the Smart and Mobile Supply Chain - Supply Chain Management Review

The "Automation Testing - Market Analysis, Trends, and Forecasts" report has been added to ResearchAndMarkets.com's offering.

The Automation Testing market worldwide is projected to grow by US$17.6 Billion, driven by a compounded growth of 17.7%.

Functional, one of the segments analyzed and sized in this study, displays the potential to grow at over 17.9%. The shifting dynamics supporting this growth makes it critical for businesses in this space to keep abreast of the changing pulse of the market. Poised to reach over US$13.7 Billion by the year 2025, Functional will bring in healthy gains adding significant momentum to global growth.

Representing the developed world, the United States will maintain a 15.7% growth momentum. Within Europe, which continues to remain an important element in the world economy, Germany will add over US$672.8 Million to the region's size and clout in the next 5 to 6 years. Over US$563.1 Million worth of projected demand in the region will come from the rest of the European markets. In Japan, Functional will reach a market size of US$631.3 Million by the close of the analysis period. As the world's second largest economy and the new game changer in global markets, China exhibits the potential to grow at 22.6% over the next couple of years and add approximately US$4.4 Billion in terms of addressable opportunity for the picking by aspiring businesses and their astute leaders.

Presented in visually rich graphics are these and many more need-to-know quantitative data important in ensuring quality of strategy decisions, be it entry into new markets or allocation of resources within a portfolio. Several macroeconomic factors and internal market forces will shape growth and development of demand patterns in emerging countries in Asia-Pacific, Latin America and the Middle East. All research viewpoints presented are based on validated engagements from influencers in the market, whose opinions supersede all other research methodologies.

Competitors identified in this market include:

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Afour Technologies

Applitools Ltd.

Astegic Inc.

CA Technologies, Inc.

Capgemini SE

Cigniti Technologies Ltd.

Codoid

Cygnet Infotech Pvt. Ltd.

IBM Corporation

Infostretch Corporation

Invensis Technologies

Micro Focus International PLC

Microsoft Corporation

Mobisoft Infotech LLC.

Parasoft

QA Mentor, Inc.

QASource

Ranorex GmbH

SmartBear Software, Inc.

Testim.Io

Tricentis GmbH

Key Topics Covered:

I. METHODOLOGY

II. EXECUTIVE SUMMARY

1. MARKET OVERVIEW

Automation Testing Market: Prelude

Global Competitor Market Shares

Automation Testing Competitor Market Share Scenario Worldwide (in %): 2019 & 2025

2. FOCUS ON SELECT PLAYERS

3. MARKET TRENDS & DRIVERS

Accelerating Time-to-Market: A Critical Advantage of Automation Testing

Growing Use of Mobile Devices and the Increasing Need for Mobile Testing Present Opportunity for Automation Testing Market

Stable Growth in Smartphone Sales

Global Smartphone Shipments in Million Units for the Years 2016 through 2024

Despite Declining Sales, Marginal Recovery of Tablet Shipments Forecast

Global Shipments of Tablets in Million Units for 2014 through Q1 2019

Rising Adoption of DevOps in Organizations Fuels Demand for Automation Testing

Critical Trends Impacting the Automation Testing Market

Artificial Intelligence and Software Test Automation: Pushing the Boundaries of Testing

With IoT Adoption Rising in Various Industries, Automation Testing Becomes an Essential Aspect of IoT Testing

Opportunity for Automation Testing for IoT Devices: Annual Revenues of IoT Market in $ Billion for the Years 2018, 2020, 2022 and 2024

Role of the Cloud in Transforming Automation Testing in IoT Industry

Codeless Automation Testing: The Future of Automation Testing

Perfecto Unveils Smart Codeless Automation Testing Solution

Ever Growing Fragmentation of Devices and Operating Systems Enhances Importance of Automated Cross Browsers Testing

A Glance at Top Cross Browser Compatibility Testing Tools

Mobile Testing Automation Witnesses Revolutionary Innovations

Regression Test Automation: Designed to Reduce Risk

Robotic Process Automation: A Popular Automation Testing Tool

Functional Automation Testing Essential to Ascertain Appropriate Working of Specific Functions in the Real World

A Review of Popular Functional Automation Testing Tools

Automation of Performance Testing Cycle Aids in Faster Detection of Faults and Accelerates Time-to-Market

Select Performance Automation Testing Tools: A Review

Security Automation Testing: Impact of DevSecOps

Big Data Automation Testing Tools

Challenges Confronting Automation Testing Market

Select Automation Testing Tools: An Overview

Selenium: The Most Popular Automation Testing Tool

Appium and Espresso: Widely Used Automation Testing Frameworks

A Glance at the Top Mobile Automation Testing Tools

PRODUCT OVERVIEW

Automation Testing

Types of Automation Testing

Benefits of Automation Testing

Difference between Manual Testing and Automation Testing

4. GLOBAL MARKET PERSPECTIVE

III. MARKET ANALYSIS

GEOGRAPHIC MARKET ANALYSIS

UNITED STATES

CANADA

JAPAN

CHINA

EUROPE

FRANCE

GERMANY

ITALY

UNITED KINGDOM

SPAIN

RUSSIA

REST OF EUROPE

ASIA-PACIFIC

AUSTRALIA

INDIA

SOUTH KOREA

REST OF ASIA-PACIFIC

LATIN AMERICA

ARGENTINA

BRAZIL

MEXICO

REST OF LATIN AMERICA

MIDDLE EAST

IRAN

ISRAEL

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Global Automation Testing Market Analysis, Trends, and Forecasts 2019-2025 - ResearchAndMarkets.com - Yahoo Finance

By Neil Edwards

Intelligent Automation and the CFO

Over the next two years, the CFO will play a pivotal role in championing intelligent automation for most companies. Why? Intelligent automation reduces costs (people mainly) and improves productivity, compliance, and accuracy for many of the processes falling under the CFO function.

Companies are excited about the reported benefits and investing heavily in intelligent automation. Forresterconfirms the excitement with the annual budgets for robotic process automation expanding to $2.9 billion in 2021. So, this intelligent automation wave will impact the people, processes, and systems reporting to every CFO in America. What are companies doing to be ready?

I caught up with two experts in the field: Abhishek Breja, Vice President and Head of Intelligent Automation and Transformation at Fiserv, and Gina Schaefer, Managing Director and Intelligent Automation Lead at Deloitte Consulting, LLP.

Solving The Not-So-Sexy Problems

The not-so-sexy problems facing CFOs today focus on labor costs, productivity, compliance, accuracy, and system efficiency. Improving one or more of these areas add up to significant gains for a company. Intelligent automation addresses a growing need that companies operationally ignored over the years. It also addresses the workflow and systems integration gaps left out by software providers.

Managing Director and Intelligent Automation Lead at Deloitte Consulting, LLP

The accounts payable or claims processing processes come to mind, said Gina Schaefer, These processes involve people doing repetitive, rules-based tasks involving paper and data entry into multiple systems.

She added that intelligent automation re-invents the accounts payable process. Robotic process automation (RPA) allows for data extraction and data entry to be taken over by the computer. AI makes some tasks more intelligent such as decision routing, computer vision, or natural language processing. We see the robots coming out of the human, and making workers more capable, said Schaefer. With over twenty years experience, Schafer knows what she is talking about, when comes to guiding companies on process transformation and intelligent automation.

The Results Are Real

Fiservs board appointed Abhishek Brejas team to improve performance across several areas with intelligent automation and artificial intelligence. His team has already delivered successful projects such as client onboarding, dispute management, customer service, and product implementations, Breja said. His team approaches every project with a profit and loss mindset, he added. His team delivered millions of dollars in savings to operating income for each individual project. The results are real and predictable because tight financial controllership is at the core of every project deliverable.

Abhishek Breja, Vice President and head of Intelligent Automation and Transformation at Fiserv

We are able to deliver quantifiable and auditable value through our portfolio of projects. In our experience, the value is delivered where a candidate process is vetted upfront for its transformation potential in terms of cost, revenue, risk, and customer experience. The vetting frame work for value is governed independently by the FP&A team under finance. Unlike many in the industry, we feel that a proof of concept must create real value, or it is a waste of time, said Abhishek Breja.

Where Is Intelligent Automation Today

Most large companies are cutting their teeth with small intelligent automation projects involving a limited scope and less than ten people. Except for in a few sectors like finance and technology, many companies have not expanded intelligent automation at scale across their end-to-end business processes.

Larger companies, over 50 percent by our recent survey, have successfully automated an accounting or customer onboarding process with robotic process automation, said Schaefer. RPA is the gateway drug that opens the eyes of the C-suite to what could be possible at scale with intelligent automation. She said, you would be surprised by how many Fortune 50 companies have not even started their automation journey, so it is all across the board.

Stay Flexible on Technology Choices

Robotic process automation (RPA) and artificial intelligence (AI) are the two large technology silos that enable the intelligent automation of a companys business processes. While companies like UIPath, BluePrism, and IBM claim to offer end to end solutions covering both, our experts suggest a different experience.

Fiserv adopted a holistic technology approach using not just RPA, but multiple intelligent automation technologies as well as leading machine learning platforms. According to Breja, their methodology recommends imagining business process from the ground up with design thinking. Once designed for automation and scale, their business process is digitally packed with intelligent automation powered by artificial intelligence.

He says, Perception is not reality; executives in the industry, particularly digital immigrants, perceive RPA to be much easier than it really is, while AI/ML to be much harder than it really is. Brejas words of wisdom echo his years of experience having lead process transformation and intelligent automation projects inside companies such as Cisco, Assurant, and BCG.

Schaefer expressed a similar opinion that the intelligent automation solutions used by companies tend to be more hybrid at this point. While Deloitte has its own set of intelligent automation tools, she says that they fit a solution to match each individual customers requirements. She has not seen a single vendor provide everything that a company needs for its intelligent automation journey.

Building Your Intelligent Automation Team

Building your intelligent automation team by Neil Edwards

Both experts suggested some best practices to consider when building your team:

Develop Your Own Expertise

Finding experienced talent is one of the biggest impediments to getting started with intelligent automation.

Breja acquired his technical knowledge of machine learning and digital through extensive online education. Similarly, Schaefer ran one of the first automation projects designing an RPA system, before the term RPA existed.

Developing your own experience and knowledge base are is essential qualities. They learned the intelligent automation from the ground up, and actively stay on top of the technology capabilities. Schaefer and Breja also each had years of experience in business process transformation across many industries. They are the authentic expert in the room when called upon.

Winning the Intelligent Automation Race

The true test will be when large corporations deploy RPA and AI in scalable, repeatable ways, said Schaefer. She added that tasks like taking unstructured data into structured data or decisions in intelligent routing had been oversimplified in the marketing hype. Taking the robot out of the human sounds good on paper, and we are making progress, but we are not yet there.

Breja offered similar opinion, The fact that people brag about the number of bots and soft value says it all. They should really be talking about the quantifiable value delivered by an intelligent automation project. He is bullish on the future of intelligent automation, but recommends keeping a business mindset with design thinking for any candidate project.

So, the intelligent automation race is well underway in many companies today. The winnings in terms of cost savings, efficiency, and productivity are big. The investments in capital, talent, and time are not trivial. If you believe our experts, then you too can be successful. Intelligent automation is one race your company will definitely not want to miss.

Read more:

Why You Cannot Afford To Fail With Intelligent Automation - Forbes

DUBLIN--(BUSINESS WIRE)--The "China Slaughtering Equipment Market: Prospects, Trends Analysis, Market Size and Forecasts up to 2025" report has been added to ResearchAndMarkets.com's offering.

The country research report on China slaughtering equipment market is a customer intelligence and competitive study of the China market. Moreover, the report provides deep insights into demand forecasts, market trends, and, micro and macro indicators in the China market.

Also, factors that are driving and restraining the slaughtering equipment market are highlighted in the study. This is an in-depth business intelligence report based on qualitative and quantitative parameters of the market.

Additionally, this report provides readers with market insights and detailed analysis of market segments to possible micro levels. The companies and dealers/distributors profiled in the report include manufacturers & suppliers of slaughtering equipment market in China.

The report on China slaughtering equipment market provides a detailed analysis of segments in the market based on type, automation, livestock, and process type.

Highlights of the Report

The report provides detailed insights into:

1. Demand and supply conditions of slaughtering equipment market

2. Factor affecting the slaughtering equipment market in the short run and the long run

3. The dynamics including drivers, restraints, opportunities, political, socioeconomic factors, and technological factors

4. Key trends and future prospects

5. Leading companies operating in slaughtering equipment market and their competitive position in China

6. The dealers/distributors profiles provide basic information of top 10 dealers & distributors operating in (China) slaughtering equipment market

7. Matrix: to position the product types

8. Market estimates up to 2025

The report answers questions such as:

1. What is the market size of slaughtering equipment market in China?

2. What are the factors that affect the growth in slaughtering equipment market over the forecast period?

3. What is the competitive position in China slaughtering equipment market?

4. What are the opportunities in China slaughtering equipment market?

5. What are the modes of entering China slaughtering equipment market?

Key Topics Covered:

1. Report Overview

1.1. Report Description

1.2. Research Methods

1.3. Research Approaches

2. Executive Summary

3. Market Overview

3.1. Introduction

3.2. Market Dynamics

3.2.1. Drivers

3.2.2. Restraints

3.2.3. Opportunities

3.2.4. Challenges

3.3. PEST-Analysis

3.4. Porter's Diamond Model for China Slaughtering Equipment Market

3.5. Growth Matrix Analysis

3.6. Competitive Landscape in China Slaughtering Equipment Market

4. China Slaughtering Equipment Market by Type

4.1. Stunning

4.2. Killing

4.3. Cut-up

4.4. Deboning and Skinning

4.5. Evisceration

4.6. Other Types

5. China Slaughtering Equipment Market by Automation

5.1. Fully Automated Line

5.2. Semi-automated Line

6. China Slaughtering Equipment Market by Livestock

6.1. Poultry

6.2. Swine

6.3. Bovine

6.4. Seafood

6.5. Other Livestock

7. China Slaughtering Equipment Market by Process Type

7.1. Line Slaughter

7.2. Batch Slaughter

7.3. Small-sized Slaughter

8. Company Profiles

For more information about this report visit https://www.researchandmarkets.com/r/kxsv97

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China Slaughtering Equipment Market to 2025 by Type, Automation, Livestock, and Process Type - ResearchAndMarkets.com - Business Wire

Simulmedia, one of the early ad tech companies to buy television commercials based on target audiences, is now doubling down on automation.

Dave Morgan, CEO of Simulmedia, said that in order to buy and traffic about 10,000 spots a day nationally across an array of 115 networks, the company needs automation to keep staffing costs low and speed execution.

Simulmedia CEO Dave Morgan

More important to linear TV networks looking to generate incremental ad dollars as ratings erode, the kind of automation Simulmedia is using can facilitate spending by internet-based direct-to-consumer marketers like client Dollar Shave Club, Quip, Babbel and Rover.

Automation also helps traditional marketers like Taco Bell or Choice Hotels that want to be able to make advertising decisions closer to airtime, based on reporting on how their campaigns are performing.

A decade ago, Morgan noted, there was a debate as to whether TV advertising needed to change or whether the way it was sold needed to change. Simulmedia opted to bring audience-and outcome-based buying to the mix, improving the ad product. Now its focused on improving how ads are bought and sold.

Companies like eBay and Google had tried to make the TV buying process more like digital, with little success. Now, Morgan said, most TV companies have their own audience-and outcome-based initiatives based on data, and those DTC brands have hundreds of millions to spend on TV advertising and want a less cumbersome process that allows them to buy ads and monitor campaigns on a dashboard on their computer screens.

Automation is attracting those DTC companies to Simulmedia, which has doubled the amount of business with them in the past year.

Networks want that business because its incremental, its growing and the rates paid are higher than many long-established clients. Automation will make linear TV increasingly attractive for these digitally-born marketers, Morgan said.

At Simulmedia, the Automated Execution software is built into VAMOS, the system that handles audience targeting, media planning and audience measurement.

VAMOS is able to put together a schedule that the network can either accept or reject. If parts of the buy are rejected, VAMOS has backups it can propose.

The other key is what Morgan calls a living rate card that frequently updates which spots are available and how much they cost. The system is also able to anticipate which spots will be available based on Simulmedias history of dealing with the networks. Our first ask clears 93% of their time, Morgan said.

Some media companies have been more aggressive about automation than others. About a quarter of them are highly automated, a quarter are partially automated and the remaining half still do business in legacy ways, he said.

NBCUniversal, for example, allows ads to be bought via an application programming interface (API), which enables machine-to-machine negotiations. Through machine learning and artificial intelligence, these systems can handle situations where a network wants more volume and can respond with an offer to buy more spots if rates come down by a certain percentage.

That takes a massive amount of people out of the equation, he said. With its automated system Simulmedia needs about five people to do its buying. A digital company would have about 55 and a linear TV business would have about 250 people.

Some networks have portals capable of providing quick decisions about accepting, rejecting or countering offers so theres no need for protracted negotiations.

Others accept XML files that can be dropped right into trafficking systems, rather than having to cut and paste material from emails.

Crossplatform Cooperation

Morgan said networks dont have to make big changes in their processes and that Simulmedia can figure out how to work with different ad stewardship systems. He expects to be able to do about 90% of the agencys business on an automated basis by the end of the first quarter next year.

And being easier to work with by automating can mean more dollars for a linear network.

Automation doesnt affect spending choices when theres time to plan a full campaign. But if its going to be whos going to get something thats 72 hours out, or 24 hours out and with all the tune-in advertising we do that happens more than wed like the automation makes a big difference, Morgan said.

Excerpt from:

Automation Key to Keeping Linear TV in Ad Ballgame - Broadcasting & Cable

Technology has taken centre stage in the success of companies today. With the likes of Uber, Amazon, and Deliveroo changing the way we live, shop, work and consume content, innovation is happening faster than ever before. In light of economic uncertainty, its become even more vital for businesses to deploy cutting-edge technology to maintain competitiveness.

Over the course of the next year, board-level conversations will be dominated by ways to ensure a seamless customer experience, formulating tactics to embrace disruptive technologies, as well as grappling with the implications of the future workplace.

Consumers can now order a meal, book a taxi and do their shopping with a few clicks of a button, without even leaving their living rooms. As a result, customers are increasingly expecting services to be Apple Easy and Google Fast in all aspects of their lives, demanding quick and seamless experiences across the board.

Customer experience management will continue to be a driver of success across all sectors in 2020. For many organisations, this means going back to the drawing board and incorporating customer-centricity at the core of their business models. As digitally native brands take a data-driven approach to provide frictionless experiences, customers will no longer tolerate dated technology with legacy systems and antiquated processes.

In the retail sector for instance, roughly 93 per cent of UK internet users are expected to do online shopping by 2021, the highest online shopping penetration rate in Europe. However, as the e-commerce market becomes increasingly saturated, and the high street continues to decline, customer experience will be the central factor to help incumbent brands cut through the noise in the market.

Experience management extends beyond the end user to include other important stakeholders such as suppliers, partners and employees. Over the next 12 months, companies will increasingly need to acknowledge the need for a close link between good employee experience and exceptional customer service.

Engaging and retaining employees requires a big shift in company culture. A data scientist might choose to work in Silicon Valley not just for the financial benefits but for the culture of innovation it fosters and the opportunities to grow.

This results in companies such as Facebook and Uber already excelling at customer experience attracting the best talent. To avoid this brain drain, companies must look to emulate this culture and provide similar opportunities on this side of the pond, creating a superior experience for their employees.

The adoption of artificial intelligence (AI) is rapidly taking hold across global business. According to PwC, AIs potential contribution to the global economy could reach $15.7 trillion by 2030. Companies will continue to embrace disruption or risk falling behind in the tech race adhering to the mantra of Uber yourself before you get Kodaked.

In particular, the market for Internet of Things (IoT) and Industrial Internet of Things (IIoT) will grow exponentially in 2020, as use cases for the technology continue to emerge across sectors.

The commercialisation of IoT data will also increase, sparking the data economy for IIoT. Over the next year, IIoT platform services will continue to turn to public cloud providers. The data collected from IoT devices will also be used to connect the entire supply chain from research and development to suppliers providing goods and through the different stages of manufacturing.

Yet overall, the business world is still just beginning to harness these technologies. Many organisations still lack the foundational practices to create value from disruptive technologies at scale, and dont have clear strategies for sourcing the data that AI requires.

Research from Celonis indicates 45 per cent of C-suite execs dont know where to start when developing their transformation strategy which is no surprise given 82 per cent of business leaders admit that they dont look at their internal processes to establish priorities before starting a transformation initiative. Considering over a third of businesses have spent over 500,000 on these initiatives, its vital that they establish clear strategies before embarking on one.

Businesses that rush to deploy technologies without first digging deep to understand where they can best create value will find their strategies failing. Instead, for organisations to succeed, they will need to look at the underlying inefficiencies within processes, only automating once the root cause of the inefficiency has been addressed.

The workplace in 2020 will see augmented collaboration, with humans and robots increasingly working together side-by-side. This amalgamation of human and robots is already visible on the shop floor, as Amazon Go-style stores begin to spring up, allowing for a completely cashier-less retail experience.

This isnt necessarily new: people have been working collaboratively with tech such as laptops and mobile phones for many years. However, whats new is the advent of human-machine convergence.

This goes hand-in-hand with advanced robotic technology, powering anything from smart glasses to intelligent assistants. Furthermore, autonomous machines will be capable of taking on even more tasks, enabling humans to focus on the real value-add work.

On the flip side, companies will need to prepare their employees for this shift, as Gen Z start to enter the workforce. With their own unique set of demands and expectations, the new generations life experiences affect the types of jobs they seek and define whats most important to them.

Theyre naturally tech-savvy, for example, with a recent survey finding that technology offered by an employer would influence the job choice of 91 per cent of respondents. The next year will see companies accelerate their preparation for attracting the right talent, aligning their ethos and career development initiatives with their expectations.

With so many changes coming so fast, it can be hard to grasp the sheer scale of technology innovation underway. Whatever happens, 2020 will be an interesting year for major organisations across all sectors as companies focus on adopting disruptive technologies and ensuring a holistic experience for their customers, as well as preparing for the workplace of the future.

Marcell Vollmer, Chief Innovation Officer, Celonis

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2020: Disruption, the changing workplace and the future of automation - ITProPortal