Enterprise big data and analytics cuts through the hype to make sense of data collection, storage, management, dissemination and discovery technologies, all employed collectively as a means of realizing corporate efficiencies and uncovering business opportunities.
At Domopalooza 2022, Domo announced a suite of low-code data app tools designed to help customize the way data is presented to end users.
Domo launched pre-designed data apps, or solution accelerators, to target common business challenges in the retail, consumer packaged goods, and financial services industries.
Ideally, successful advanced analytics deployments should lead to more intelligent actions by line-of-business users. The market has talked for years about concepts such as data democratization and generating data-driven insights, but enterprises still struggle with getting a large portion of their teams to take actions that are informed by data analytics. Numerous suggestions such as role-based training, model explainability, intuitive dashboards, user-friendly tools, and executive-led initiatives have been made, but with varying degrees of effectiveness. Continue reading “Domo Tackles Challenge of Getting to More Intelligent Actions with Launch of Data Apps”→
• Radian Arc, a Perth-based edge infrastructure provider is helping telco monetize 5G with cloud gaming, but is turning its sights on enterprise applications.
• Radian Arc’s built for purpose edge infrastructure and partner marketplace could offer a template for a CAPEX free way for telcos to monetize 5G.
Radian Arc, founded only in 2020, is making a name for itself in the emerging cloud gaming industry. Cloud gaming works largely the same way as video streaming services, with content and processing stored and run on remote servers with the visual outputs of the game being streamed to an end user device. Radian Arc, however, is not a gaming company, instead positioning as an Infrastructure as a Service (IaaS) provider, specifically focusing on providing graphical processing unit (GPU) and storage solutions. However, unlike IaaS providers in the public cloud space like AWS or Azure, or traditional private cloud IaaS, Radian Arc is focused exclusively on delivering their infrastructure at the edge of telecom operator networks.
• IBM leveraged Deep Blue, a supercomputer, to victory over chess champion Gary Kasparov and Watson’s subsequent victory over Jeopardy champion Ken Jennings to highlight the promise of AI.
• IBM hoped to expand Watson beyond game playing to solving problems that had proven intractable to business managers. Seeking a challenge, IBM adapted Watson to diagnose and treat cancer.
IBM’s experience developing the platform for Jeopardy gave the company hope that it could broaden Watson’s capabilities. Key to the success of Watson’s victory at Jeopardy was the development of DeepQA, a specialized software architecture that, according to IBM, “generates a wide range of possibilities and for each [query] develops a level of confidence by gathering, analyzing, and assessing evidence.”
Databricks Lakehouse for Retail is an integrated platform to help retailers tackle specific industry challenges, such as demand forecasting and supply chain inventory provision.
The product helps users gain insights from data, either through traditional analytics or by leveraging Databricks’ AI tools.
Advanced analytics firm Databricks, known for its AutoML capabilities, has launched its first industry-specific product, Databricks Lakehouse for Retail. It is a savvy move to target the retail sector, which has been shaken to the core during the global pandemic, with supply chain disturbances and a massive shift towards e-commerce accelerating trends that would have taken many years in normal circumstances. Against this backdrop, retailers are looking to optimize their data to better manage inventory issues and supply chains and to improve their ability to forecast demand and personalize marketing campaigns for customers. Continue reading “Landscape for AI-Based Vertical Solutions Heats Up as Databricks Unveils Offering for Retail Companies”→
DataRobot Core incorporates tools for data scientists that the company gained from its acquisition of Zepl in May 2021.
The product offers specialized capabilities that enable users to toggle between the development of customized machine learning models and the use of AutoML for experimentation.
DataRobot’s mission is to help enterprises implement ‘Augmented AI’ by offering products that enable users to combine human intelligence with machine automation. The DataRobot AI Cloud platform facilitates customers’ ability to toggle between automation and human intervention, so that they can adjust their AI strategy as needed throughout the duration of a project’s lifecycle. To support this strategy, the company launched DataRobot Core in December 2021. The platform enables data scientists to use the tools and languages they prefer, to speed up experimentation and accelerate AI deployments. Continue reading “DataRobot Launches Solutions Aimed at Combining Human Intelligence with Machine Automation “→
Robotic process automation (RPA) represents the key component of intelligent automation solutions which will support DevOps and app modernization efforts in the coming year.
Emerging factors including process mining/task mining, low-code app platforms, API integration, test automation, intelligent document processing, and attended automation capabilities promise to fast-track the technology into enterprises’ digitization strategies.
The pandemic brought to the forefront the importance of intelligent automation and robotics advancements for addressing a changing global workforce, turning traditional business processes into workflow automations to vastly improve the customer experience. The result will be a new workforce represented by RPA’s replacement of repetitive and mundane jobs, alongside new high-touch, high-productivity opportunities fulfilled by humans. Robotics’ core heritage has always been RPA, but additional factors including process mining/task mining, low-code app platforms, API integration, test automation, intelligent document processing, and attended automation capabilities are coming to light and promise to fast-track the technology into enterprises’ digitization strategies. Continue reading “Robotics to Play Mega Role in Automation and Process Mining”→
Bringing Machine Learning to the Masses: AWS Announces Sagemaker Canvas
• SageMaker Canvas looks to democratize access to machine learning (ML).
• Access to analytic tools will generate a better understanding of company performance.
When discussing the future of artificial intelligence (AI) and ML, there is often an emphasis on advanced technical capabilities that will help realize futuristic visions such as self-driving cars. Given the competitive advantages at stake, it is no surprise that demand for skilled AI and ML specialists has quickly outstripped supply.
During his AWS re:Invent 2021 presentation, Bratin Saha, Vice President, Machine Learning, noted that AI and ML is the fastest-growing job category, posting a 74% growth rate in the U.S. over the past four years (per LinkedIn’s 2020 Emerging Jobs Report). Not surprisingly, this has led to a shortage of qualified AI and ML specialists. According to Saha, AWS customers are looking for solutions that empower more employees to do ML. This need for access by non-technical staff has led AWS to develop SageMaker Canvas. Continue reading “Bringing Machine Learning to the Masses: AWS Announces sagemaker Canvas”→
• Tableau has introduced the concept of Business Science, which brings advanced data analytics tools to users that aren’t data scientists.
• During its mid-November user conference, Tableau debuted two new tools that support Business Science: Model Builder and Scenario Planning.
Tableau’s mission is to help all people better visualize and understand data. The company wants to make analytics, and the insights it can drive, available to line of business professionals throughout an organization. To support this vision, it has introduced the concept of Business Science. Business Science brings advanced data analytics tools to users that aren’t data scientists, yet feel comfortable working with data and have a strong understanding of the operational and overarching business issues facing their organization. The tools are powerful enough to offer capabilities such as customized views, drill downs, and predictions, but don’t require the expertise of a data scientist to manipulate them. Essentially, they empower the data-savvy, line of business professional to combine domain expertise with advanced analytics to make better decisions more quickly.
Businesses need to adapt their customer contact models to a world where remote is the default.
AI-powered digital technologies can play a powerful role in improving the customer journey – both independently and in tandem with human agents.
At AT&T’s 2021 Business Summit, GlobalData supported the American telecoms giant in exploring one of the key themes of the event: reimagining the customer journey in a post-COVID, cloud-enabled world. This is a critical challenge for most businesses as the impact of COVID has fundamentally changed the relationship between customers and businesses, as well as the way the two communicate. Continue reading “Digitalizing the Customer Journey”→
• A sustainable smart city should consider the deployment goals, but also the underlying infrastructure.
• PLDT checks most boxes in the infrastructure and technology layers as well as in the other ICT domains but it could consider further expanding its capabilities in the professional services and partner ecosystem.
PLDT’s Sustainable Smart City Initiatives
In the Philippine Digital Convention (Digicon) 2021, PLDT shared its initiatives and capabilities in driving sustainable smart city adoption and helping industries to achieve goals in the sustainability three pillars: economic, environmental, and social. On the application layer, PLDT offers a range of smart city solutions across verticals in line with the sustainable smart city goals. This includes remote learning in education, COVID response in healthcare, and emergency response in public safety. As an ICT provider, PLDT also continues to build the underlying infrastructure to enhance existing applications and enable new sustainable smart city solutions. It has 15 subsea cables including Jupiter, Asia Direct, and Apricot, and 12 point-of-presence (PoPs) across the world to offer reliable global interconnections. Domestically, it has over 540,000km of fiber providing high-speed connectivity nationwide as well as more than 4,000 5G base stations covering major Philippines cities. Besides connectivity, PLDT has 10 interconnected data centers that deliver 9,000 racks and 27 MW of power to host enterprises applications and workloads. Further, in line with its sustainability agenda, it is working to achieve 1.4 power usage effectiveness (PUE) for its facilities, source at least 20% of its data centers’ power consumption from renewable energy, and obtain Leadership in Energy and Environment Design (LEED) and ISO 50001 certifications.