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Ebook
Your journey to a GenAI future: A strategic path to success in life sciences and pharmaAs generative AI continues to make waves across both headlines and boardrooms, the life sciences industry is unlocking new possibilities that could reshape the future. This sector, known for managing vast, intricate data sets and safeguarding sensitive patient information, is poised to harness GenAI for groundbreaking advancements. In life sciences, GenAI isn’t just a buzzword – it’s a game changer with the potential to revolutionize innovation, productivity and patient care.
Our latest insights on GenAI come from a comprehensive survey of 1,600 organizations across the globe, offering a deep dive into how different industries are approaching GenAI. Specifically, we focused on the responses of 237 senior life sciences leaders who are at the forefront of shaping GenAI, data and analytics strategy.
In this report, you’ll discover:
• How the life sciences industry is leading or lagging in GenAI adoption compared with other sectors.
• The specific areas where the industry is already seeing GenAI drive results – and where it is still navigating uncertainty.
• How GenAI investments in life sciences stack up against other sectors and where the industry is placing its bets.
• Practical strategies to overcome the challenges of GenAI implementation, ensuring you maximize your return on investment (ROI) and stay ahead of the curve.
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IDC MarketScape: Worldwide Machine Learning Operations Platforms 2024 -
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Revealing the paths to 2040: four possible scenarios for insuranceFrom extreme weather events and natural disasters to geopolitical volatility and shifting demographics, insurers face increasing numbers and varieties of disruptions and uncertainties. At the same time, longstanding risk models are upended by rapid technological advances and evolving market needs. Opportunities abound – but the future is unclear.
This Economist Impact report, informed by expert interviews and an analysis of megatrends, presents insurers with four possible scenarios for the world in 2040. Each path forward describes a potential future, reflecting two main drivers of change:
– Pace of technological evolution.
– Level of global cooperation.
How will insurance evolve? Challenge your assumptions as you delve into these scenarios, considering along the way how you should prepare.
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Ebook
A Comprehensive Approach to Trustworthy Data and AI GovernanceAI is revolutionizing human life and unlocking a whole new world of innovation. As AI becomes more prevalent, it will affect nearly every aspect of society from our professional to personal lives. Organizations that can demonstrate responsible and ethical use of AI are more likely to be commercially successful. This is where Trustworthy AI – a system designed to ensure safety, reliability and ethical practices – can help.
Trustworthy AI is an AI system designed, developed and deployed with human-centricity in mind. These systems incorporate appropriate levels of accountability, inclusivity, transparency, completeness and robustness to promote human agency and prevent human harm.
In this eBook you will discover:
The business need for ethics in AI
Why you should embrace Trustworthy AI
How to establish Trustworthy AI governance
The 6 SAS principles to guide your Trustworthy AI strategy
How the SAS Data Ethics Practice supports Trustworthy AI
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Ebook
Five reasons developers hit a productivity wall – and what to do about itDevelopers, when you hit a wall, you hit it hard. And it’s often the same five obstacles getting in the way of productivity over and over again. Do these issues sound familiar?
“I don’t have my own space to experiment with models before sharing them.”
“It takes too long to develop a model.”
“The infrastructure we need costs too much.”
“It’s too hard to keep track of version updates.”
“Everybody’s getting different results from the same data sets.”
This e-book from SAS and AWS takes a closer look at each of these obstacles and how you can overcome them with the help of SAS® Viya® Workbench. Make productivity blockers a thing of the past.
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Solving the public services productivity puzzleIn Global Government Forum’s survey, 91% of public service respondents said they face a productivity challenge, with 56% characterizing it as significant or very significant.
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Data-driven health careThe use of technology and data in the health care ecosystem continues to evolve. An extreme emphasis has been placed on digital health, AI, and the need for interoperability across various stakeholders in the healthcare ecosystem. Interoperability of different health care systems and devices to seamlessly exchange information is crucial to provide stronger health outcomes and patient engagement opportunities, enhance patient safety and operational efficiency, and reduce duplicated effort and potential for error.
Discover how health care powered by data and technology will be the springboard to the future.
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SAS est leader dans The Forrester Wave™ : Plateformes décisionnelles d'IA, Q2 2023.The Forrester Wave™ : AI Decisioning Platforms, Q2 2023 reconnaît SAS pour son intégration transparente de l'analytique de classe mondiale pour la prise de décision.
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Marketers and GenAI: Diving Into the Shallow EndMarketers are leading in GenAI use, but it’s only surface level. What’s needed to take the next step?
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Ebook
Your journey to a GenAI future: A strategic path to success in health careGenAI is at the forefront of global health care innovation and is here to stay. Health care organizations at large are leaning into the promise of advanced technologies with the intent to streamline operations and deliver stronger health outcomes for patients all over the world. But in a highly regulated, protected and data-sensitive sector, how is this technology being used? And how will health care organizations keep patient data safe while implementing cutting-edge technologies like GenAI?
In this report, you’ll discover:
• How health care organizations are approaching GenAI adoption compared with other sectors.
• The specific areas where health care already sees GenAI drive results – and where they’re still navigating uncertainty.
• How GenAI investments in health care stack up against other sectors and where these industries are placing their bets.
• Practical strategies to overcome the challenges of GenAI implementation, ensuring you maximize your return on investment (ROI) and stay ahead of the curve.
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Ebook
Your journey to a GenAI future: An insurer’s strategic path to successThe insurance industry is rapidly embracing generative AI technology, recognizing its extraordinary capabilities through high rates of personal and organizational usage. Overwhelmingly, insurance companies around the globe plan to invest in GenAI over the next year, and most have a dedicated budget in place. Yet many lack sufficient budgeting for GenAI governance, and most governance frameworks are still in development.
Recent research compiled survey results from 1,600 global organizations across a wide range of sectors. In this report, we drilled down to the 236 respondents who are senior decision makers in GenAI strategy or data analytics in the insurance sector.
Read the results to understand insurance firms’ unique perspectives on GenAI – including how the industry compares to other sectors, how you can proactively prepare for implementation challenges, what the most promising business opportunities are, and which issues are the top concerns.
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Ebook
Your journey to a GenAI future: A strategic path to success for governmentAs generative AI (GenAI) accelerates into the mainstream, organizations of every kind are seeing the transformative potential of the technology. Many government organizations handle huge data sets, hold sensitive personal information and synthesize details about entire populations. For government, GenAI could create a paradigm shift in productivity and capability.
Our research findings are based on a new survey of 1,600 organizations from a wide range of sectors worldwide. To better understand the unique perspectives that government organizations have about GenAI, we examined the responses from the 237 senior leaders who are responsible for making decisions on GenAI strategy or data analytics.
This report uncovers:
• How governments are implementing GenAI compared to other sectors.
• Which areas governments are already seeing the benefits of GenAI and where they feel less confident.
• How government investment stacks up against other sectors and where it’s being spent.
• How you can proactively prepare for the challenges of implementing GenAI to ensure a strong ROI
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ARC View: Industrial-grade AI: Transforming Data into Insights and OutcomesThis ARC View report explains how organizations can not only start realizing immediate returns from their Industrial AI initiatives, but also ensure that their investments remain future-proof.
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SAS is a Leader in The Forrester Wave™: AI / ML Platforms, Q3 2024 -
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2024 Gartner® Magic Quadrant™ Data Science and Machine Learning -
Ebook
Public service of the futureNever before have governments been asked to do so much, so fast, while facing considerable pressures – rising customer service expectations, fiscal constraints, overstretched organizations and workforce fatigue.
Technologies like AI and generative AI are shifting the limits of what is possible – enabling fresh ideas about how public sector organizations can deliver services and helping to rethink what services are offered. From national to local government, law enforcement to health and defense to education, great strides are being made to deliver better outcomes and experiences.
In this e-book, you will discover six considerations for improving productivity and ensuring public servants have the time to focus on what matters. Here's a sneak peek:
· How do different demographics engage with public services and how do you serve everyone?
· Are traditional processes meeting your organization’s needs? Would updating and modernizing help you achieve increased operational efficiency?
· How AI is a catalyst for organizational transformation.
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Pioneering Ethical AI: The Crucial Role of Property and Casualty InsurersInsurers have long been global leaders in addressing risks and protecting people and businesses. As artificial intelligence continues to revolutionize how business gets done, it is redefining how insurers can deliver on their promises. Read this paper to learn from industry veterans and AI experts alike about:
• The state of AI regulations globally.
• The multifaceted role insurers can play in developing AI ethics.
• Why insurers are uniquely qualified to use AI (and GenAI) – and how they’re using these technologies today.
• An approach to an ethical AI framework that any insurer can follow to establish their own AI narrative.
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On the Road to Accelerating Claims AutomationMore than ever, insurance companies need to provide customers with seamless interactions that save them time, minimize hassle, and make them feel seen, understood, and cared for. Many are also exploring the use of AI for claims prevention – for example, by creating new risk mitigation services. All of this requires investment in digital technologies that work together to enable intuitive, Amazon-like customer experiences. This ebook explores how insurers can make the leap to digitally transformed, intelligent claims processes that customers love and increase operational efficiency and reduce costs.
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AI in Health Care: Enhance Clinical and Operational Decision MakingAI is revolutionizing the health care sector. Join SAS and Microsoft to explore innovative AI solutions for better patient outcomes and efficient care delivery.
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How to realize value from cloud analytics faster — and with less cost and riskIn just a few years’ time, analytic and AI models have gone from being on-premises “pet projects” and proofs of concept to high-volume mission-critical technologies developed and deployed in the cloud to support business decisions at scale. But as Foundry’s survey reveals, most IT departments haven’t evolved how they will support and enable the new world of cloud analytics at scale.
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Top 5 insurance problems – and AI isn’t one of themAs all players in the insurance ecosystem know – insurers to reinsurers, GSIs and regulators – the industry faces a multitude of daunting business problems today. In this paper, we discuss five of the most pressing insurance problems, how they affect communities around the world, and obstacles that can get in the way of solving those challenges. Read the paper to learn how insurers can use AI to identify and solve far-reaching issues. And learn why it will take the entire insurance ecosystem to course correct on business results, climate risk, AI safety and governance, and more.
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Ebook
Intelligent decisioning in governmentGovernments can incorporate AI-driven decisioning into existing business processes to take advantage of digital transformation benefits. Through automated processes, deeper insights and the ability to act quickly, governments can innovate service delivery, drive efficiency and help build a better future.
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Government navigating an uncertain worldHow governments can harness data,
advanced analytics, and trustworthy AI to
prepare for the unexpected—and respond
faster to protect and improve citizens’ lives.
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Generative AI in Health Care: Opportunities and CautionsLearn how GenAI will affect all aspects of health care, from cost containment to patient care., and the importance for organizations to recognize both the potential and the limits of this new technology and be alert to how it’s being used to perpetrate fraud.
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Detect and halt risky payments across the life sciences supply chainCut fraud, waste, error and abuse with a data-driven approach to payment integrity
It’s estimated that 4.57% of the total annual procurement spending in the private sector is lost to fraud and error. What would be the impact to life sciences organizations if you could stop that flow of cash out of the business? Even for smaller organizations, improving payment integrity could free up significant capital for strategic investments. In R&D, for example, it could free up funds for strategic acquisitions or returning cash to shareholders.
In this e-book, we’ll look at how a smarter, more data-driven approach to payment integrity helps life sciences companies gain faster and deeper visibility into their spending across R&D, manufacturing and distribution. A data-driven approach also helps highlight potential anomalies in real time for investigation by human experts.
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Page Insights
Break stuff . . . servers, rules and the glass ceilingCarla Gentry knows what it’s like to be the only woman on the team and is happy to share her hard-won knowledge with an ever-growing number of female data scientists. She recently shared with us some sage advice for women entering or interested in advancing in the field.
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The insurance data and AI revolutionInsurers face continual disruptions these days as they respond to price sensitivity, the push for sustainable practices, evolving regulations, climate change issues and all types of heightened risks. How should they respond?
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Webinaire
Predictive Maintenance: A More Proactive and ROI-Driven Business ModelIncrease uptime and reduce unnecessary capital expenditures with predictive maintenance
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Webinaire
Real-Time Predictive Analytics: Uncovering Opportunities and Barriers at the Speed of Data FlowJoin us as we discuss how SAS® Event Stream Processing can help organizations uncover data anomalies instantly, before trouble starts or opportunity passes
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IDC Spotlight: Looking Beyond the AI Model to Improve the Value of Computer Vision in Manufacturing OperationsThis IDC Spotlight explores the increasing adoption of computer vision (CV) by manufacturers, and how in order to succeed, they must focus on more than just model development, validation and deployment. SAS delivers a comprehensive portfolio of tools, software and resources – integrated into SAS Viya – to develop and deploy CV solutions.
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Ebook
Quality 4.0 Impact and Strategy Handbook Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership.
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5 Steps to Accelerate Value From Your Industrial IoT Data This e-book features five steps industrial leaders can follow to get more value from IIoT data. It describes how to craft a comprehensive IIoT strategy, what to look for in an edge-to-enterprise analytics solution, and how to evaluate IIoT solutions.
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SAS is a Leader in The Forrester Wave™: Digital Intelligence Platforms, Q4 2022SAS is a Leader in The Forrester Wave™: Digital Intelligence Platforms, Q4 2022.
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Gartner® Top Strategic Technology Trends for 2024: AI Trust, Risk and Security ManagementLearn why IT leaders must adopt an AI TRiSM to protect their organizations and improve their business outcomes from AI models.
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The Next Big Leap in Asset Management Comes with Predictive Maintenance at ScaleBy employing advanced modeling and machine learning (ML) technologies, predictive maintenance software solutions can analyze growing volumes of process parameters for emerging issue detection, allowing manufacturers to take action before it is too late.
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The Next Big Leap in Asset Management Comes with Predictive Maintenance at ScaleARC View Oct 19 2023
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Artificial Intelligence for ExecutivesThis paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
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Analytics That Matter: A New WorldThis much-anticipated study examines industrial companies’ progress in analytics over the past two years, including the recent impact of COVID-19. The report is based on an LNS Research survey of nearly 6,200 plants.
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Securing Your IoT Solution StackLearn why IoT solutions are so difficult to secure, what's needed to secure each layer of the IoT stack, and how SAS uses software like SAS Event Stream Processing to secure the applications layer.
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Advanced AI-Powered Energy ForecastingAs regional power markets across the globe experience constantly changing market dynamics, there is an increased need for advanced AI-driven energy forecasting to help power and utility companies navigate the energy transition.
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The Risks and Rewards of AIExploring the rise of AI, Harvard Business Review has published a collection of articles assessing the opportunities and pitfalls that could evolve, with discussions on the innovative uses of data and analytics, industry adoption, impacts to human work, and the factors of business change.
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Optimizing energy use in manufacturing with data and AISAS is helping manufacturers deliver mathematically optimized insights that empower production operators to tune process recipe setpoints, accelerate time to value and provide significant energy cost savings associated with manufacturing processes.
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The Non-Geek's A-to-Z Guide to the Internet of ThingsThis A-to-Z guide includes 101 common terms related to the Internet of Things.
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Charging Ahead with EV AnalyticsThis white paper from Navigant Research, sponsored by SAS and Intel, explores the analytics infrastructure that is needed to prepare for and benefit from the growth of EVs
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Analytics Accelerates Monetization Opportunities for Connected Vehicle and Mobility ServicesLearn how automakers and their partners are using IoT data and analytics to help them reshape business models, seize new sources of revenue and develop inventive ways to better serve customers.
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Four Use Cases Show Real-World Impact of IoT This TDWI e-book explores in detail what IoT means and how different industries are taking advantage of it.
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Modern manufacturing’s triple play: Digital twins, analytics and the Internet of ThingsTechnologies to recreate a digital version of some of the world’s most complex machines are a new source of opportunity for analytics and the Internet of Things. From use by NASA to manufacturers worldwide, equipment can be monitored from anywhere in the world and beyond.
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IoT success depends on data governance, security and privacyThe IoT puts intense demands on the data management life cycle. Learn from 10 common mistakes organizations have made with IoT endeavors.
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Machine Learning Use Cases in Financial CrimesLearn 10 proven ways machine learning can boost the efficiency and effectiveness of fraud and financial crimes teams – from data collection to detection to investigation and reporting.
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Machine learning and artificial intelligence in a brave new worldMachine learning in the last few decades has given way to an AI revolution. From self-driving cars to virtual assistants, learn more about the endless possibilities for these developing technologies.
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The Key Factors Driving IoT SuccessWith the support of SAS, the Internet of Things Institute developed the Internet of Things ROI Research Study to gather real-world insights, lessons learned and future guidance from current users of IoT technology and advanced analytics.
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The Internet of Things: Marketing’s Opportunities and Challenges Learn how marketers can apply event-based marketing and real-time marketing capabilities to capitalize on IoT data in the moment by pinpointing significant customer events, which then trigger real-time customer decisions. The result? Best offers delivered in real time, given the consumer’s current context.
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IoT in Retail: Engaging the Connected Customer How do you make your brick-and-mortar stores as smart as your website so when customers walk in the door, you recognize them and cater to their individual tastes? Learn the key to making in-store shopping as frictionless for your customer as online shopping.
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Improve Customer Experience with Actionable Artificial Intelligence While more marketers turn to artificial intelligence technologies, this new territory also raises more questions. This paper offers a detailed look into how AI works, and explores the opportunities and challenges it presents.
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Edge Computing Index: From Edge to EnterpriseThe Futurum Research survey was conducted to identify attitudes toward edge computing, adoption and deployment data. It also investigated investment intent and trends or points of friction related to this topic. All respondents in the survey were in roles of influence for edge computing investment decisions.
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How to Do Deep Learning With SAS® Get an introduction to deep learning techniques and applications, and learn how SAS supports the creation of deep neural network models.
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Data Management for Artificial IntelligenceWhen machines learn from exposure to data, the truism of “garbage in, garbage out” for data is truer than ever. Now is the time for executives, particularly the chief data officer, to establish the data management strategy, technology and best practices to ensure success with machine learning.
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The Connected InsurerExplore the opportunities IoT creates, the barriers to its adoption within the insurance industry, and what’s needed to fully exploit the potential of IoT for competitive advantage and growth.
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The Connected Customer: The Why Behind the Internet of ThingsBlue Hill explores the key traits associated with supporting the connected customer through the internet of things, and provides guidance on why the internet of things will be essential across the general business landscape.
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Bridging The IoT Perception Gap: Information vs Operational TechnologyFuturum Research surveyed the state of the relationship between IT and OT teams as it pertains to the design, implementation, and creation of value through IoT technologies.
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The 3 R’s of AI Adoption: Refactor, Reinvent, ReimagineLearn how organizations are using AI to refactor, reimage and reinvent business as usual. Understand the relative impacts on business process, analytics and data practices, and DevOps at each level of adoption.
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Ebook
Augmented Analytics: The secret ingredient to better business intelligenceAugmented analytics breaks down the limitations of
business intelligence (BI) and brings forward insights
from data using AI and machine learning.
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The Innovator's Flight Plan to AIAs an emerging technology, AI is naturally associated with innovation. Many organizations are using AI to develop new products and business models, and to improve their business processes.
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Powering Health Innovation with AIThere is no doubt: AI has the potential to transform health care. The most recent SAS Hackathon showcased how the transformative power of analytics can spark health care innovation. The Hackathon was entirely conducted on a Microsoft Azure cloud infrastructure to facilitate the agile analysis and visualization of big data.
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Data, Analytics & AI: How Trust Delivers ValueThe annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights.
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Adopting AI: Linchpins of AI Success - Data Scientists and Their Algorithms The Harvard Business Review’s AI Adoption Insight Center focuses on the the human faces behind the computational and automation advancements that are carrying our world into exciting, uncharted territory.
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Adopting AI: Industry PerspectivesFrom self-driving cars to supply chain jobs, detecting crime and changing healthcare, AI promises to transform our business world. The promise of AI is no longer speculative—it’s today’s reality.
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Formidable ForecastsWith artificial intelligence capabilities and traditional forecasting processes, it’s possible to create efficiencies by automating the production of large-scale time-series analyses and hierarchical forecasts.
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Streaming analytics: Life happens fast. Are your analytics keeping up?Download this free e-book to find out what streaming analytics is, the unique opportunities it can address and five key success factors for planning your streaming analytics program.
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Adopting AI: The Impacts of AI on ManagementThe AI revolution is no longer the stuff of science fiction – it’s corporate reality. Harvard Business Review’s AI Adoption Insight Center articles on management discuss the reality of AI execution in businesses today and what we’re learning as AI advances.
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Computer vision for product qualityExplore how manufacturers can address product quality challenges with the latest advances in computer vision by using analytics-driven intelligence wherever it’s needed – from the edge to the cloud.
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AI Momentum, Maturity and Models for SuccessSAS, Intel and Accenture, working with Forbes Insights, surveyed business leaders and interviewed thought leaders around the world to identify early adopters and uncover emerging best practices for AI. Find out what they had to say.
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Adopting AI: Strategic Takes on AI AdoptionA successful AI implementation requires a strong strategy from the beginning. Knowing how and where to fit AI into your business to gain the most benefits is crucial to drive growth.
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The Autonomous Grid in the Age of the Artificial Intelligence of ThingsExplore how AI and IoT work together to deliver everything from improved threat detection to better customer engagement for utilities.
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Artificial Intelligence in Banking and Risk ManagementGlobal Association of Risk Professionals (GARP) and SAS survey drew more than 2,000 responses from across the financial services industry to answer questions about the current and future state of AI in risk.
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Fearless Decision? The most successful banks of the future will be those who can see their customers as individuals, appreciate their unique journeys and make decisions accordingly — across all associated business functions.
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TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoTcustomer data, IoT
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Accelerate and improve business outcomes with AIoTOrganizations across multiple industries are using AIoT to improve quality, maximize equipment performance, improve efficiencies and more. Download this e-book to find out how you can reap the same benefits.
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Internet of Things: Understanding the JourneyWhether your focus is business outcomes or technology challenges, this guide provides the insights to accelerate your IoT journey.
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How to Take AI Projects From Start to WinThe four pillars of starting a successful AI program and examples of how other organizations have taken their AI projects from start to finish.
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AI Momentum, Maturity & Models for Success: Focus on SingaporeAdvances in data and analytics have enabled early adopters of AI to grow beyond experiments and quick hits and provide examples for paths to success with AI.
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How AI Changes the RulesReaping the benefits of AI will require changes in workplace structures, technology strategies and technology governance. Read on to learn more about the changes that leaders must prepare for to successfully implement trusted AI.
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AI for the CIO: 10 Tips for SuccessThis paper offers 10 tips for the CIO who is knee-deep in digital transformation projects that require deploying AI models at an enterprise scale.
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Analytics and the Modern Energy SupplierFind out why the modern energy supplier must consider how to incorporate IoT and AI in their business operations to improve data-driven decisions and achieve greater return on asset investments.
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The Artificial Intelligence of Things We’re living in a world that has more connected devices than humans. See how AI amplifies the value and potential of this fast-growing Internet of Things.
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AIOT: How IoT Leaders Are Breaking Away (IDC Market Report / AIoT Survey 2019)Read the results of a global study conducted by IDC, which revealed that AI and the IoT are having a bigger-than-expected impact – and leaders report that the AIoT is becoming the key to competing effectively.
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RAPPORT D'ANALYSTE
Gartner positions SAS as a Leader in the Magic Quadrant for Data Science and Machine Learning Platforms, Q1 2021Gartner positions SAS as a Leader in the Magic Quadrant for Data Science and Machine Learning Platforms for the eighth consecutive year.
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Data-Driven Grid Reliability: IoT Sensing and Analytics to Enable Predictive Maintenance and Improve ResiliencyLearn how the emergence of artificial intelligence, IoT sensors, advanced analytics and predictive maintenance within utility distribution systems can significantly improve reliability and build resiliency in the power grid.
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dbInsight: SAS Viya is living large on AzureLearn how Azure provides the onramp to a new customer base to take advantage of SAS capabilities without having to make big enterprise software commitments.
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SAS: Providing a Comprehensive Approach to the IoT Analytics Life CycleThis IDC Vendor Profile offers IDC's perspective on the IoT strategy of SAS.
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Webinaire
How Do I Migrate SAS® Event Stream Processing Workloads to Microsoft Azure?Learn how SAS and Microsoft work together to seamlessly migrate SAS Event Stream Processing workloads to Microsoft Azure.
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Webinaire
Demand Planning During Uncertainty: Forecasts, Models & Manufacturing AnalyticsLearn how analytics helps manufacturers generate reliable, demand-driven forecasts and improve recovery efforts.
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Webinaire
Unlock the Power of Industrial IoT With AnalyticsJoin experts from SAS, Siemens and Futurum Research discussing IIoT and analytics fundamentals in the age of Industry 4.0.
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Webinaire
AI and Banking: Survey Reveals Success FactorsWhether you are a business or technology leader in banking, this must-attend webinar will give you a clearer, current, data-driven picture of the state of AI in banking and where it’s heading.
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Webinaire
Breaking Away From the Pack With the Artificial Intelligence of ThingsIndustry experts share their insights on a new global study that explores the business impact of combining AI and IoT.
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Webinaire
Synergize Your Tech Stack to Realize AI’s Full Potential Learn how organizations get exponential impact through a layered AI technology stack.
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Webinaire
Breaking Down AI Capabilities for IT: What to Know About ForecastingLearn about the technical requirements of forecasting through the lens of IT management.
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Webinaire
Breaking Down AI Capabilities for IT: What to Know About Machine LearningLearn about the technical requirements of machine learning through the lens of IT management.
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Webinaire
Breaking Down AI Capabilities for IT: What to Know About NLPLearn about the technical requirements of natural language processing through the lens of IT management.
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Webinaire
Breaking Down AI Capabilities for IT: What to Know About Computer Vision and GPUsHear from an IT director about the technical requirements and major considerations for deploying and supporting computer vision.
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IoT Analytics: How to Make Your IoT Data Work for YouJoin Pinnacle Solutions and SAS to learn how you can use IoT analytics to make your IoT data work for you.