journey


Being human in the age of AI

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Will AI take over the world? Or, more to the point, will it take over the humankind? It seems to have invaded the public consciousness, sparking concerns that AI will take away jobs. This fear is driven in part by companies using AI to deliver cost savings across their businesses, including areas related to labor. But AI is much more than that.


Being human in the age of AI

#artificialintelligence

Will AI take over the world? Or, more to the point, will it take over the humankind? It seems to have invaded the public consciousness, sparking concerns that AI will take away jobs. This fear is driven in part by companies using AI to deliver cost savings across their businesses, including areas related to labor. But AI is much more than that.


Driving AI's potential in organizations

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For some organizations, harnessing artificial intelligence's full potential begins tentatively with explorations of select enterprise opportunities and a few potential use cases. While testing the waters this way may deliver valuable insights, it likely won't be enough to make your company a market maker (rather than a fast follower). To become a true AI-fueled organization, a company may need to fundamentally rethink the way humans and machines interact within working environments. Executives should also consider deploying machine learning and other cognitive tools systematically across every core business process and enterprise operation to support data-driven decision-making. Likewise, AI could drive new offerings and business models. These are not minor steps, but as AI technologies standardize rapidly across industries, becoming an AI-fueled organization will likely be more than a strategy for success--it could be table stakes for survival. In his new book The AI Advantage, Deloitte Analytics senior adviser Thomas H. Davenport describes three stages in the journey that companies can take toward achieving full utilization of artificial intelligence.1 In the first stage, which Davenport calls assisted intelligence, companies harness large-scale data programs, the power of the cloud, and science-based approaches to make data-driven business decisions. Today, companies at the vanguard of the AI revolution are already working toward the next stage--augmented intelligence--in which machine learning (ML) capabilities layered on top of existing information management systems work to augment human analytical competencies. According to Davenport, in the coming years, more companies will progress toward autonomous intelligence, the third AI utilization stage, in which processes are digitized and automated to a degree whereby machines, bots, and systems can directly act upon intelligence derived from them. The journey from the assisted to augmented intelligence stages, and then on to fully autonomous intelligence, is part of a growing trend in which companies transform themselves into "AI-fueled organizations."


Unhidden Figures: Are Women A.I.'s Natural Born Leaders? (Paid Post by IBM from NYTimes.com)

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IBM has recently launched its inaugural IBM Women Leaders in A.I. in recognition of women advancing their company's journey to artificial intelligence across diverse industries around the globe--from California's County of Sonoma to South Africa's NedBank. There is an opportunity for women to not only contribute to Artificial Intelligence (A.I.) – one of the modern era's most important technologies – but help lead in its application across various industries around the globe. This position of influence is not solely to appease a diversity mandate or to stand guard against algorithmic biases. Women can stand up as one of the integral factors in bringing transparent, inclusive and trusted A.I. to business. Among those recognized on IBM's list of Women Leaders in A.I., we recognized a common success factor - shared a propensity for bringing stakeholders together for effective work.


AI Provides Leadership Opportunities For Women - What's Stopping You?

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Selma Turki is on a mission to ensure more women understand the impact of new technologies on their careers and engage with the change from the planning process. Her work as EY EMEIA leader, cognitive solutions, advisory means that she works with clients to find solutions using new technologies. When we met to discuss the challenges in addressing gender diversity in the tech space, she shared her views on where the problems lie. The most common problem cited for AI lies in programming. Gartner estimates by 2022, 85% of AI projects will have incorrect outcomes due to biases in data or algorithms.


Why companies are in need of data lineage solutions

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Neelesh Salian will host the session "How do you evolve your data infrastructure?" Subscribe to the O'Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episode of the Data Show, I spoke with Neelesh Salian, software engineer at Stitch Fix, a company that combines machine learning and human expertise to personalize shopping. As companies integrate machine learning into their products and systems, there are important foundational technologies that come into play.


What's the Difference Between AI, ML, Deep Learning, and Active Learning?

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Today, the terms artificial intelligence (AI) and machine learning (ML) are often used interchangeably. While the terms are related, they mean different things. We map out how they all relate to one another, so your team can find the best candidates, best approaches and best frameworks as you embark upon your AI journey. AI refers to the concept of machines mimicking human cognition. To reference artificial intelligence is to allude to machines performing tasks that only seemed plausible with human thinking and logic.


How AI Will Change B2B Marketing Forever

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Back in 2006, Phil Fernandez, Jon Miller, and David Morandi founded Marketo. At the time, they only had a PowerPoint. But then again, they also had a compelling vision to create a new category known as marketing automation. Within a few years, Marketo would become one of the fastest software companies in the world, as the market-product fit was near perfect. By 2013, the company went public and then a few years later, it would go private.


Bangko Sentral ng Pilipinas to boost financial services by using AI and API

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The Bangko Sentral ng Pilipinas (BSP) recently won two awards in the Central Banking Fintech and Regtech Global awards. According to a recent press release, the central bank was recognised in the Artificial Intelligence Initiative category as well as the Data Management Initiative category. The BSP won in the Artificial Intelligence Initiative category for its development of a prototype Chatbot in order to provide the public with a more accessible and efficient means to engage the central bank on financial consumer concerns. Leveraging on AI and natural language processing (NLP), the Chatbot will be able to adequately and efficiently handle consumer concerns coursed through channels including SMS and social media. Moreover, the Chatbot is envisioned to equip the central bank with more insight into customer experiences, banking practices and conduct.


How Artificial Intelligence Will Transform Marketing in 2020

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Artificial intelligence marketing (AI) is looking to change the game of leveraging customer data, with new found concepts of machine learning to anticipate the next move to enhance a customer's journey, writes Ipsit Roy, a freelance content writer. The last few years that went by a bear a fine witness to the rise of innovation in marketing. With newer tools and trends popping up every minute, and a majority of them actually living up to the hype, marketing teams can dream about bringing the sun and the moon closer. In their Artificial Intelligence (AI) survey, account-based marketing firm, Demandbase joined hands with Wakefield Research to harp on the potential that AI carries in affecting sales and marketing in leaps and bounds. The research depicted how there remains a strong divergence between the urge and the confidence of innovators to help forward-thinking organizations adapt to AI for first-grade marketing programs.