Welcome to insideBIGDATA’s “Heard on the Road” round-up column! This regular feature features thought leadership commentary from members of the big data ecosystem. Each edition covers today’s trends with a compelling perspective and can provide critical insights for gaining a competitive edge in the market. We invite submissions that focus on the technology topic areas we excel at, including big data, data science, machine learning, AI, and deep learning. fun!
The power of data and the airline industry. Commentary by Dwight Harris Jr., CEO and Co-Founder of DataScalp
We’ve seen the power of data to drive massive change in business operations. The next sector that needs this major change is imperatively the aviation industry. For decades, customers have been at the mercy of big airlines. From big companies like United Airlines and JetBlue to smaller airlines like Spirit and Frontier, the belief in providing a positive travel experience to their customers has been lost. Rich crowdsourced data is the key to vastly improving the flight experience. These airlines can fully understand where they are lacking through data collected by people who have experienced travel problems such as delays, cancellations, lost luggage and delayed refunds. Airlines need to pay attention to what their customers are saying on these channels and adjust their operations accordingly. Otherwise, you can access your competitors in one click.
Importance of data quality in profit. Commentary by Peter Nagel, Vice President of Engineering, Noyo
The benefits industry brings together a wide range of business models in various states of modernization. As a result, data quality issues are a persistent and pervasive problem. EDI remains the most popular method for collecting registration and entitlement data, so many companies are learning how to circumvent his EDI limitations. That is starting to change as the adoption of API-enabled data exchange grows. Building his ETL capabilities to clean and standardize benefits data helps address quality issues that affect everyone in the industry. This greatly reduces coverage-impacting issues and opens up new avenues for innovation.
The intersection of AI and staffing: How to grow your business without adding headcountCommentary by Rebecca Jones, Mosaicx General Manager
Running a business is a balancing act. Companies are navigating complex labor markets that affect how they grow their businesses and optimize existing resources. Business leaders can use her AI-enabled tools to introduce automation, unburden understaffed teams, and identify opportunities for growth. Intelligent virtual agents and other AI tools automate internal and external operations and communications. For example, these conversational tools can automate shift scheduling, reporting, payroll discrepancies, and even identify revenue-generating opportunities. Businesses looking to these solutions relieve the burden on team members and improve employee retention while saving the company money and scaling services.
Hybrid cloud workflows remain important. Commentary by David Feller, Vice President of Product Management and Solutions Engineering, Spectra Logic
Concerns about bandwidth, access, and cost keep very large and active data lakes on-premises for sectors such as genomics, life sciences, academic institutions, and government research that generate and store large amounts of data. It means that there is Hybrid cloud workflows continue to be important in other environments. The media and entertainment industry is ahead here with decentralized workflows and the massive public cloud investments AWS has made to support this market. And as data backup rapidly moves to cloud interfaces (S3) and leverages a combination of cloud computing, databases, and long-term storage, on-premises solutions must adapt to cloud interoperability.
Apache Arrow drives the data, it drives the worldCommentary by Dremio Developer Advocate Alex Merced
An organization’s use of data, whether it is a for-profit, non-profit, or other type of entity, determines its growth and impact. The Apache Arrow project has transformed the way applications interact with data by creating standards for how data is represented in memory and transferred between applications. We know that using tools that leverage Apache Arrow not only improves performance, but also leaves room for interoperability with other tools. This makes it easy to create the workflows you need using the right tools for the job. Performance and interoperability are becoming the cornerstones of what open source projects such as Apache Arrow, Apache Parquet, and Apache Iceberg bring to the modern data stack.
Vertical industries are slow to innovate in the cloudCommentary by Jeff Robbins, Founder and CEO of LiveData
Businesses today face several risks. This includes the threat posed if certain vertical industries innovate in the cloud to take advantage and not solve long-standing problems of on-premises computing. As we head into 2023, some highly regulated vertical industries will continue to experience the dynamic strain inherent in high-performance cloud-native data strategies. However, few industries are affected like healthcare. For example, providing up-to-date and accurate data to hospital decision makers while navigating the many security and privacy constraints (such as those imposed by HIPAA) is often still ambitious. , the trend is ongoing. Hospitals need to do more with the resources they have. By moving actionable analytics to the cloud, hospital administrators have a platform to improve many aspects of the nurses’ workplace, improving job satisfaction and, importantly, retention. contribute to Her CIO and data team in vertical industry markets must work with industry experts to ensure that widely accepted horizontal technologies (such as Tableau) are available in a secure manner. If you’re not prepared, your organization risks being left behind as peers and competitors beef up their workplaces to meet the rising expectations of today’s (and tomorrow’s) workforce. Cybersecurity, governance, regulatory compliance, and other aspects of risk aversion make it tempting to adopt a cloud-native strategy slowly, but the rapid change in the world has left us wondering what working for an organization means for employees. It takes intentional initiative to have a real impact on .
Don’t miss the real-time wave. Commentary by Gary Hagmueller, CEO of Arcion Labs
Companies that miss the real-time wave will undoubtedly experience a competitive disadvantage compared to their employers. These shortcomings grow over time. Real-time data availability is a phase or wave of innovation, and as we have seen many times before, such waves tend to produce important winners and losers. Adopting a wave of innovation early in the cycle like this can often create a substantial separation between the fate of early his adopters and those adopting in the mainstream (or later). is known. Think Walmart vs. Sears, Airbnb vs. Hilton, Netflix vs. Blockbuster. The smart tech-aware executives in the winners above had cemented an insurmountable lead by the time their more mainstream competitors realized something needed to change. Companies that don’t face the risk of looking old quickly. In the modern data age, detecting data leaders and data lagging is getting easier by the day. And as leaders pick up the pace, the tolerance of lagging firms begins to drop precipitously. You don’t want the threat of falling behind in data.
AI Regulation – Ensuring Fair Practices and IntegrityCommentary by Diveplane Chief Commercial Officer Alan Cross
The provisions of EU AI law, in particular the all-important Article 13 requirement that users be able to understand and interpret AI, are essential for a future where AI is accountable to users. Regulatory requirements for auditable, explainable, and interpretable technology are urgently needed to prevent untunable “black box” neural networks from being deployed in socially important systems. For similar reasons, the goals of the US AI Bill of Rights Blueprint are important. In particular, the fourth principle asserts that users should be able to understand the automated systems that affect their lives. uninterpretable AI will become not aligned A.I. However, Diveplane has some concerns about whether the blueprint is the best path forward for US AI regulation. We believe a stronger regulatory structure is needed to promote corporate best practices and protect consumers. Businesses need the credibility provided by clear, objective regulations that allow them to confidently invest resources in innovative systems. Consumers want security that legally protects their data, privacy, and safety. We believe that Americans will live better lives if the United States creates an inclusive and balanced framework that both businesses and consumers can trust. Hopefully the next step in developing the Code of Policies blueprint will work towards that.
AI – The Future of Ecommerce AccountingCommentary by Rohan Thambrahalli, CEO and Founder of DimeTyd
Amazon is a major channel for B2C and B2B vendors, but the e-commerce giant’s accounting system can result in significant profit losses and inefficiencies. Amazon’s accounting is complex, and there is virtually no software platform designed to help vendors manage transaction volume and complexity. With a loss of up to 5% for every $100,000 generated through Amazon, sellers and vendors must use the same advanced technology to catch up and respond to Amazon. Amazon has long recognized the benefits of artificial intelligence (AI), machine learning, and related technologies, but vendors have struggled to keep up with its complexity to bring true clarity to billing and reconciliation. I was. Leveraging AI and automation, advanced accounting solutions can match calculations with calculations, including creating accurate invoices, tracking shipments, and automatically determining what should and should not be billed. Ultimately, Amazon vendors are turning to accounting solutions with AI technology that can process millions of data points. It plays a key role in making the accounting and reconciliation process error-free, cost-effective and logistically seamless.
How will AI implementations grow in 2023? Commentary by RFPIO CEO and Co-Founder Ganesh Shankar
AI shows great potential in 2023. As we finally emerge from the pandemic haze, companies are bowing and refocusing on how to do more with less. especially in a recession. While the implementation of AI has certainly set a new mark on trends in the tech industry, some companies are interested in where AI is heading. Factors such as advances in AI R&D, increased access to datasets, greater computing power, and changes in the economic and regulatory environment will all influence how far AI will go in 2023. With the popularity of AI, more companies will invest in AI implementations. Success as companies transition to a persistent hybrid workforce. This will make AI more accessible to employees around the world. Especially in industries such as healthcare, financial services, and manufacturing, the adoption of AI will increase efficiency. Companies will learn more about how to use AI and encourage their employees to embrace it every day. AI is set to see massive growth across computer vision, natural language processing, and reinforcement learning in the next few years, and will forever impact how employees work. By embracing AI, the future of work will evolve, and employees will become more efficient, empowering them to upgrade their skills and knowledge bases.
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