Pranav Tyagi, Founder, President & CEO, Tango Pranav Tyagi has over 18 years of industry experience in store lifecycle management and integrated workspace management working with a wide range of clients across retail, restaurants, REITs, healthcare, and banking/financial services. Prior to founding Tango in 2008, Tyagi helped develop and lead the Retail/Real Estate consulting practices at BearingPoint, Ernst & Young, and Deloitte Consulting. His areas of expertise include strategic planning, geospatial analytics, market planning, site selection, design and construction, lease administration, and facilities management. Tyagi holds an MBA in Strategy and Marketing Research from The University of Texas at Dallas, a Master of Science in Information Systems, and a bachelor's degree in Mechanical/Industrial Engineering. He also completed the Leading Professional Services Firms program at Harvard Business School.

AI will play a major role in determining "winners and losers" in industry, KPMG said. And half of companies are looking to the chief information role to lead overall AI strategy. What's emerging in AI is the rise of the haves and the have nots, and it's caused by the level of enterprise investment. There is almost a "ten-fold gap" in the amount of resources dedicated to AI between those companies with mature vs. early stage AI capabilities, according to KPMG. Because the technology is in its early stages, the gap is not as noticeable in industry, but that will change as AI matures and scales.

BOULDER, Colo., September 12, 2019 /PRNewswire-PRWeb/ -- Enterprise Management Associates (EMA), a leading IT and data management research and consulting firm, today announced the leading innovators in the use of artificial intelligence (AI) and machine learning (ML) in metadata services, data integration, and data preparation. Two EMA research reports also identify the value of using AI and ML in data management, with savings up $5,000,000 annually. Due to the measurable value created by AI enablement, leading vendors create more value for their customers compared to legacy data management technology. Passive use of metadata focused on definitions and documentation, while the active use of metadata focuses on the delivery of services, such as data cataloguing, data governance, data discovery, and master data services. In alphabetical order, here are the Top 3 vendors for the use of AI and ML in metadata services platforms: Informatica, Reltio, and Unifi.

Accenture has acquired Spanish analytics services firm Pragsis Bidoop. Headquartered in Madrid with additional offices in Barcelona and the UK, Pragsis will add more than 200 employees with deep machine learning, artificial intelligence and big data engineering experience to Accenture's Applied Intelligence business. Accenture Applied Intelligence serves the European and Latin American markets by helping enterprise clients scale their deployments of AI, analytics and automation to make improved data-driven decisions. Founded in 2004, Pragsis Bidoop has a diversified client base of Ibex-35 companies in Spain and multinational corporations with a presence in Mexico, Brazil and other Latin America markets. The company specialises in service provisioning for corporations in a range of industries, from banking and insurance to retail, energy, railways, the public sector and pharma.

In this show, the first of our PegaWorld 18 series, I'm joined by Kirk Borne, Principal Data Scientist at management consulting firm Booz Allen Hamilton. In our conversation, Kirk shares his views on automation as it applies to enterprises and their customers. We discuss his experiences evangelizing data science within the context of a large organization, and the role of AI in helping organizations achieve automation. Along the way Kirk, shares a great analogy for intelligent automation, comparing it to an autonomous vehicle . We covered a ton of ground in this chat, which I think you'll get a kick out of.

In May 2019 Deloitte surveyed 523 executives in a range of industries in 26 countries across Africa, the Americas, Asia and Europe on their intelligent automation strategies and the impact on their workforces. The analysis reveals that these organisations are not only continuing to use robotic process automation (RPA) but are moving beyond it by increasing deployment of intelligent automation. Fifty-eight per cent of surveyed executives report they have started their automation journey. Of these, 38 per cent are piloting (1-10 automations), 12 per cent implementing (11-50 automations) and eight per cent automating at scale (51 automations) – twice as many as in 2018. Organisations believe they can transform their business processes, achieving higher speed and accuracy by automating decisions on the basis of structured and unstructured inputs. They expect an average payback period of 15 months – and in the scaling phase just nine months.

In the past ten years, the world of recruitment and Human Resource has changed a lot. Shaped by several different and mostly technological factors, the HR department has drastically transformed from sorting resume papers manually to imbibing technology in the recruitment process. Currently, all the Talent pioneers are recognizing the urgency to start embracing emerging technologies, such as Artificial Intelligence, analytics, cognitive, AR and VR to reinvent how people work in the organization and how new talents are being hired. HR professionals also believe, to bridge the gap, organizations must focus on their employee strategies to yield productivity, experience, collaboration, streamlining processes, simplify work, and setting up new goals. With technologies like AI, organizations can invent, reinvent, and transform the processes.

In this episode, we talk about robotic process automation and artificial intelligence in the context of PwC's Intelligent Automation Framework. Ryan Martin and Jennifer Lendler join Bob Clark to discuss some of the exciting uses companies are finding for these technologies and break down the risks and challenges that accompany these emerging technologies in the real world. We discuss the following questions: 0:57 - What are the differences between robotics, artificial intelligence and machine learning that CFOs and clients are hearing?

ADG is Techno-Marketing company, Over 8 years, we have been providing Services in Artificial Intelligence(AI), Machine Learning, IOT, Analytics, Data Science, Software Application Development, Mobile Apps development for resolving the business challenges in various verticals and industries. Our associates are distinguished by their functional and technical expertise combined with their hands-on experience and technical certifications thereby ensuring that our customers receive the most effective, quality delivery and professional services on time.

Artificial intelligence is one of the buzziest terms in corporate America, but organizations don't need to pursue a tech upgrade as a solution for every problem, Athina Kanioura said. Instead, Accenture's chief analytics officer says that companies -- and the executives that run them -- should meditate on the internal and external pressures that are forcing them to consider their investment. Together, these pushes and pulls form a firm's "AI narrative," said Kanioura, whose 3,000-data-scientist-strong Applied Intelligence arm at Accenture has consulted for organizations from the Golden State Warriors to Carnival Cruises. A financial institution facing trouble growing its user base, for example, may opt to automate initial customer interactions to cut costs. For Kanioura, the first step in considering investing in AI is determining the appropriate return you are seeking and whether it will complement other tech priorities, like cloud computing or data analytics.