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New Report Finds Triple Threat Facing Marketing Agencies, Including AI

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Research from Funnel outlines the mounting risks facing marketing agencies and the opportunities for adaptation
STOCKHOLM, Sept. 20, 2024 /PRNewswire/ — Funnel (www.funnel.io), the marketing intelligence platform, and market insights company Ravn Research (ravnresearch.com) have today released a report on the state of global marketing department and agency relations. You can download the report here: page.funnel.io/access-agency-acceleration 

The report draws upon quantitative and qualitative research from 327 in-house marketing professionals and marketing agency leaders, examining existential challenges to agencies. Funnel and Ravn have found that marketing agencies are facing a triple threat: pressure from regulators and Big Tech, shortages of advanced analytical skills and changing perceptions about the value of agencies themselves, with AI and automation replacing human work in some instances.
AI is becoming more prevalent in marketing
Many in-house marketers say AI will invariably affect their agency relationships.
Key findings:
43% of marketers say AI will make their company less dependent on agenciesAgencies, meanwhile, are largely unphased: two-thirds of agency professionals expect their financial condition to improve over the next year, with AI having a net positive impact on their businessLess than a quarter view increased in-housing of marketing functions, partially resulting from AI adoption, as a major threat to their businessAI is beginning to affect the marketing and advertising industry but is not expected to replace human and agency work any time soon.
Agencies facing mistrust from clients
With the future of marketing dependent on sophisticated measurement models and vast amounts of data needing to be shared between clients and agencies, closer partnerships are required for success. Yet, Funnel’s report indicates a general mistrust in agencies and a frustration with repetitive processes on the clients’ side.
Key findings from surveying in-house marketers:
More than half of in-house marketers do not trust their agency partnerships, particularly when controlling costs and delivering tailored, innovative solutions75% claim that their company’s outsourcing rates to agencies will fall or remain flat over the next yearAdditionally, only 40% of marketers say their agencies are invested in the long-term growth and success of their company; just 47% believe their agencies are communicating well on measurable outcomesQuestion: Do you agree or disagree with the following statements about your agency?
Marketers did note, however, that agencies were better at sharing honest feedback and setting realistic expectations.
“Our agency is in the business of making sense of data analysis, AI, machine learning, language models, and more,” explains Benjamin Keller, Chapter Lead Data and Business Intelligence at Sunlab. “What can be difficult is presenting it in a way that clients can understand and synthesize.”
Agencies’ golden opportunity for value-add
As the last-click attribution method used for measuring marketing impact is slowly eroded by regulatory and Big Tech data limitations, many marketers now face uphill battles to evolve to advanced analytics and rely less on third-party data.
Innovations in advanced analytics, used in marketing, come in three forms:
Marketing mix modelling (MMM) uses statistical models to measure the impact of marketing activities on business outcomes such as sales and ROIIncrementality testing estimates the additional impact of a specific campaign or activity by comparing the results of a test group exposed to the campaign with a control group that was notMulti-touch attribution deploys user-level and micro-level tracking to assess user journeys and the impacts of individual touchpointsKey findings on advanced analytics usage and proficiency:
Teams generally do not have an advanced analytics expert to inform decision-making; for example, 69% of marketers surveyed say they have no clear, documented roadmap to adapt to the deprecation of third-party cookiesSince their clients do not have experts or roadmaps to track performance, most agencies (66%) therefore believe that offering advanced analytics is a major opportunity for their organizationApproximately 60% of marketers are already using some kind of data analytics to measure performanceBut very few are using the most advanced probabilistic forms, such as MMM (26%) and incrementality testing (26%)Few marketers (15%) have plans to outsource additional advanced analytics services in the coming 12-18 months, leaving the majority with reduced visibility on the impact of marketing spendQuestion: Does your marketing team do any of these things in-house?
While many in-house marketing teams require help from agency partners to pull new strategies off, agencies themselves can spread the costs of domain experts across multiple clients, explain methodologies behind their recommendations and guide clients through the complex marketing landscape.
“This report comes at a critical crossroads for the industry,” says Con Cirillo, Head of Marketing, United States, at Funnel. With AI on the rise, cross-device and web tracking falling and marketing teams reassessing their budgets, it is important to examine the relationship between in-house marketers and agency partners. We have unearthed significant findings alongside Ravn Research, particularly concerning confidence in agencies and emerging technologies, as well as a lack of preparedness for advanced analytics among marketing teams. Both sides need to innovate and thankfully there are higher quality tools available than ever to achieve this.”
“Through our qualitative and quantitative research, surveying and interviewing over three hundred in-house marketing and agency professionals globally, we have highlighted the unique challenges facing agencies and captured the general mood of the sector at present,” adds Clare McDermott, Founder of Ravn Research. “This represented a wide range of countries, company sizes, industries and roles, providing strong indications that the industry is undergoing significant changes.”
Demographics
How many full-time employees currently work for your company/agency?
What best describes your level of responsibility within your company?
Survey respondents represented by region
Which of these agency types does your company work with?
About Funnel
Founded in Stockholm in 2014 by Fredrik Skantze (CEO) and Per Made (CMO), Funnel (www.funnel.io) is the Marketing Intelligence Platform that is trusted by globally recognized brands such as Adidas and Sony. Funnel’s unique Data Hub serves as the foundation for marketing reporting for thousands of organizations. With its cutting-edge platform, users can automatically collect, model, visualize, and analyze data from over 500 marketing platforms. The firm has grown to over 300 employees and generated over $50M in ARR in 2023, consistently featuring in the FT 1000 list of Europe’s fastest-growing companies.
About Ravn Research
Ravn Research (ravnresearch.com) is a research services company founded by Clare McDermott in 2021 producing original qualitative and quantitative analysis and data journalism to help brands build authority, create connections, earn followers and tell stories.
Press Contact details
Alex Gallo – [email protected], +44 7762 984 690
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Autonomous Mobile Robots (AMR) Market to cross $10 Billion TAM with around 500K AMRs shipment by 2030 – LogisticsIQ

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NEW DELHI, Sept. 20, 2024 /PRNewswire/ — The global Autonomous Mobile Robots (AMRs) market is poised for significant growth, driven by increasing demand for automation across various sectors, including logistics, manufacturing, and healthcare. According to the latest market research by LogisticsIQ (5th Edition), Autonomous Mobile Robots (AMR) Market to cross $10 Billion TAM by 2030 with a CAGR of ~30% between 2024 and 2030. We expect the installed base of AMRs to reach 2 million units in 2030.

Download a Free Sample of our report on Autonomous Mobile Robots Market
Key Market Drivers
Increased Efficiency: Businesses are rapidly adopting AMRs to enhance operational efficiency, reduce labour costs, and streamline workflows.Labor Shortages: The ongoing labour shortages in various industries have accelerated the need for automated solutions, making AMRs a crucial investment for companies.Technological Advancements: Innovations in artificial intelligence (AI), machine learning, and sensor technology are making AMRs more capable and reliable.Growing E-Commerce: The rise of e-commerce has created a demand for efficient warehouse management solutions, further boosting the AMR market.Regional Insights
North America leads the AMR market, accounting for the largest share due to the early adoption of automation technologies. Meanwhile, the Asia-Pacific region, especially China is expected to witness the fastest growth, fuelled by rapid industrialization and increasing investments in smart factories. US and China are going to contribute ~40% of this market by 2030.
Industry Applications
Autonomous mobile robots are being utilized in various applications, including:
Warehouse Automation: AMRs enhance inventory management and order fulfillment processes. This industry is expected to lead with more than 75% share by 2030.Manufacturing: Robots facilitate material handling and assembly line operations. Traditionally, it has been dominated by AGVs but are getting replaced by AMRs due to more flexibility and scalability features.Healthcare: AMRs assist in transporting medical supplies, improving patient care and operational efficiency. It is a niche market but high growing area to focus further.Purchase the full report on the Autonomous Mobile Robots Market – Growth, Trends, and Forecast
Top Factors & Challenges in the Autonomous Mobile Robots Market
Top Factors Driving Growth
Increased Demand for Automation: Businesses across industries are increasingly seeking automation to enhance efficiency and reduce operational costs.Technological Advancements: Innovations in AI, machine learning, and sensor technologies improve the capabilities and reliability of AMRs, making them more attractive to businesses.Labor Shortages: Ongoing labour shortages, especially in sectors like logistics and manufacturing, are pushing companies to adopt AMRs to maintain productivity.Growth of E-Commerce: The surge in online shopping requires efficient warehouse and logistics solutions, driving the adoption of AMRs for inventory management and order fulfillment.Improved Safety Standards: AMRs can reduce workplace accidents by taking over hazardous tasks, leading to safer working environments.Customization and Scalability: Many AMR solutions offer customizable features that allow businesses to scale operations according to their specific needs.Top Challenges
High Initial Costs: The upfront investment for AMRs can be substantial, which may deter smaller businesses from adoption.Integration with Existing Systems: Integrating AMRs into current operational workflows and legacy systems can be complex and resource-intensive.Regulatory Compliance: Navigating regulatory requirements and safety standards can pose challenges, especially in highly regulated industries.Limited Awareness and Understanding: Some businesses may lack knowledge about AMR technology and its potential benefits, hindering adoption.Technical Limitations: While technology is advancing, AMRs may still struggle with navigating complex environments or handling unexpected obstacles.Cybersecurity Concerns: As AMRs become more connected, they may be vulnerable to cybersecurity threats, requiring robust security measures.Know more about Autonomous Mobile Robots Market – Top Players, Cost Analysis, Competition, and Customer Expectation
What will you get in this report?
500 Pages and 160+ Exhibits Market ReportRevenue and Shipment data segmented:By form factor (Deck-load, Tugger/Pull, Forklift)By Navigation (Tape/Wire/Magnet, Reflector, QR Codes, LiDAR, Camera, Sensor, Fusion)By Function (Goods to person (G2P), Person to Goods (P2G), Conveying, Piece picking, Towing, Pallet Handling)By Application (Manufacturing, Logistics and Warehousing, Shipping, Delivery, Cleaning, Security, Hospital, Retail)Detailed excel file with 150+ market tables (Revenue and Shipment) including forecast till 2030A bottom-up analysis of Autonomous Mobile Robots Market for 19 countries (United States, Canada, Germany, UK, France, Italy, Spain, Nordics, China, Japan, South Korea, Australia, India, Taiwan, Thailand, Malaysia, Singapore, Indonesia, Phillippines) in 5 regionsIn-depth analysis of 700 companies in the ecosystem with more than 160 company profiles.Focus Group Discussion with 100+ key industry stakeholders across the value chain to collect the first-hand information to validate our analysis. Stakeholders include components and technology providers, system integrators, robot manufacturers (OEM/ODM), robotic software & service providers, and end-user industry verticals. Apart this, study also focuses on different components and integral parts of Autonomous Mobile Robots like Motion Control, Batteries & Chargers, Cameras / Vision Sensor, LiDAR, Sensor Fusion, QR Code and Wireless Communication.2 Analyst Sessions to brainstorm furtherInvestment details excel file with 175+ M&A and ~1000 funding dealsLogisticsIQ™ Exclusive Market Map (700+ Players across more than 15 categories)About LogisticsIQ
LogisticsIQ is a dedicated market research and advisory firm in Logistics & Supply Chain sector, empowering decision makers from top fortune 1000 companies, financial and research institutions, private equity and high potential start-ups with market insights to make better decisions. We enable this by analysing the right mix of the best data, the best research methodologies, and the best industry panel to deliver value to our clients.
Media Contact
Name: Sunny M.Email: [email protected]: +91-952-918-4938 
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Huawei Cloud: Thrive with the Cloud and Reshape Industries with AI

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SHANGHAI, Sept. 20, 2024 /PRNewswire/ — At HUAWEI CONNECT 2024, Executive Director of the Board of Huawei and CEO of Huawei Cloud Zhang Ping’an delivered a keynote speech “Thrive with the Cloud: Reshaping Industries with AI”. Zhang states that enterprises must seize opportunities in the intelligent era and use AI to build competitive advantages. The key is to adopt an AI-native mindset now.

First, enterprises should actively embrace AI, open up industry scenarios, and develop enterprise AI platforms. This will enable AI to serve their core business. Today, Huawei Cloud Pangu Models have been applied in more than 30 industries and 400 scenarios.
Second, AI computing power is critical. Enterprises need to build AI-native cloud infrastructure that matches their requirements. Zhang officially released CloudMatrix to interconnect and pool all resources including CPUs, NPUs, DPUs and memory. It marks an evolution from monolithic to matrix compute. CloudMatrix comprises an AI-native cloud infrastructure in which everything can be pooled, peer-to-peer, and composed, providing enterprises with abundant AI computing power.
Third, data quality determines the effectiveness of AI models. We need to build knowledge-centric data foundations to enable data to serve AI better. Huawei Cloud has fully upgraded DataArts to provide customers with AI-oriented and knowledge-centric data foundations. The updated features include AI+data convergence engines, data development and governance, knowledge services, and AI+data application enablement services.
Fourth, build suitable AI models based on business applications. We must abandon the misconception that larger models are better. It is not feasible to address all needs with just one foundation model. Pangu Models 5.0 are available in different sizes, with parameters in the billions, tens of billions, hundreds of billions, and trillions. The complete series of Pangu models meet practically all business application needs.
In addition, Huawei Cloud’s Pangu 5.0 models enhance spatiotemporal controllable generation (STCG) in the field of multimodal generation. For autonomous driving,the Pangu model can generate driving scenarios that accurately mirror the physical world. It can generate videos that reflect normal driving scenarios, random road conditions and accidental and aggressive driving, allowing automotive enterprises to train autonomous driving more efficiently.
Huawei Cloud officially released the Mainframe-to-Cloud Solution, designed to help customers develop new core systems on the cloud with high availability, easy O&M, and better agility, helping customers achieve 99.999% financial-grade high availability. Currently, most banks in China have chosen Huawei to build their new core systems on the cloud.
Tao Jingwen, Huawei’s Director of the Board and President of the Quality, Business Process & IT Mgmt Dept, recounted Huawei’s digital transformation journey. Huawei has developed a methodology, which can be broken down into three layers, five phases, and eight steps. The three layers are redefining intelligent business, AI model development and delivery, and ongoing optimization of intelligent applications. The five phases are identifying suitable scenarios, reshaping processes, transforming organizations, optimizing corporate data, and adopting AI applications.
Bruno Zhang, CTO of Huawei Cloud, presented insights on how Huawei Cloud is leveraging AI to reshape data centers, infrastructure, and cloud services. He also addressed the construction of an AI-native cloud designed to accelerate intelligence in industries. The “1+N” Pangu assistant system, unveiled by Mr. Zhang, signifies a new era in cloud service interaction. The system includes Pangu Doer, and the myriad use cases in product R&D, data analytics, security, and office collaboration, where Pangu models are trained using the scenario-specific data, know-how, and practices to enhance cloud services and boost efficiency with tailored AI.
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Creative by Nature: HUAWEI Launches GoPaint Worldwide Creating Activity 2024

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BARCELONA, Spain, Sept. 20, 2024 /PRNewswire/ — On September 19, HUAWEI officially launched the GoPaint Worldwide Creating Activity 2024 themed “Creative by Nature”. From the kickoff day to December 31, 2024, painting enthusiasts around the world can share their unique digital art works on HUAWEI Community platform.

With their HUAWEI MatePad tablets, designed to spark creativity, global consumers can bring the “Creation of Beauty” concept to life. The HUAWEI GoPaint Worldwide Creating Activity invites aspiring artists to unleash their inner creativity and continue to be inspired.
The new HUAWEI MatePad Pro 12.2-inch and HUAWEI MatePad 12 X come with powerful hardware and enhanced writing & painting experience when working with the most updated GoPaint App. The app’s professional brush engine, diverse canvas options, and FangTian Painting Engine 2.0 provide a seamless, authentic, and user-friendly creative experience.
The Activity is divided into five groups, with themes of Sci-Fi Art, Design & Fashion, Narrative Art, Cutting-edge Painting, and Digital Watercolor & Ink. Find out more in the the Official Website and get ready to paint on your HUAWEI MatePad[1]!
In the HUAWEI GoPaint Worldwide Creating Activity, you could win the chance to showcase your artwork worldwide and in app placements. You’ll also have the opportunity to share your creative journey in video interviews. For more details, please visit the official website: https://consumer.huawei.com/en/campaign/gopaint/
[1] MatePad tablets that support the GoPaint App are required, such as HUAWEI MatePad Pro 13.2, HUAWEI MatePad 11.5S, HUAWEI MatePad Pro 12.2, and HUAWEI MatePad 12 X.
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