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SPEAKERS - BANGALORE EDITION

Natalie Evans Harris

COO, BrightHive, USA

Manish Gupta

Co-founder and CEO, VideoKen Infosys Foundation Chair Professor at IIIT Bangalore

Komal Sharma Talwar

Founder TT Consultants , XLPAT Member, GoI AI Task Force

Abishek Surendran

Partner at pi Ventures

Harsha Urlam

Data Scientist, Boeing

Kartik Kulbhushan

Global Business Transformation Leader Sun Pharma

Atul Tripathi

AI Consultant to PMO

Namrita Mahindro

Senior GMDigital Transformation Mahindra Group

Ravinder Pal Singh

Chief Information Innovation OfficerTata Singapore Airlines (Air Vistara)

S. Senthil Nathan

GM – Information SystemsCavinkare Pvt. Ltd.

Dr. Om Deshmukh

Sr. Director – Analytics Solutions Data Sciences InnovationEnvestnet Yodlee

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Jesse Damiani

CEO of Galatea San Francisco, California. USA

Jaspreet Bindra

Senior VP Digital Transformation/ Chief Digital Officer Mahindra Group

Ankur Narang

Senior Vice President Technology Decision Sciences Yatra Online Pvt Ltd

Deepak Sharma

Chief Digital Officer Kotak Mahindra Bank

Johnson Poh

Adjunct Faculty Big Data and Analytics Singapore Management University

Kaushik Ghate

Sr. Vice President Head –Consumer Analytics Data Sciences HDFC Bank

Dhanesh Padmanabhan

Director of Engineering - Analytics Truecaller

Sayed Peerzade

Group Chief Information Officer Reliance Group

Avik Sarkar

Head, Data Analytics Cell NITI Ayog

Amol Pai

President Business Digital Technology Solutions YES Bank

Amit Kurhekar

Global technology leader Procter Gamble

Fuel for Growth

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It’s hard to tell the difference between hype reality. The one thing that’s clear is that the nature of work and creativity are changing rapidly. The question is no longer what AI can do for you, but HOW can you successfully get your AI strategy in place, and HOW can you effectively leverage AI to boost business outcomes.

Gap junction conductances: In addition to the numerous ion channels that contribute to transmembrane voltage profile, channels that form at gap junctions between two cells play a role in impulse propagation and perhaps repolarization. In the epicardial border zone of the 5-day infarcted heart, reentrant arrhythmias occur in fibers where impulse propagation shows accentuated anisotropic properties [45] . Subcellular redistribution of the gap junction protein connexin 43 (Cx43) has been observed and correlated with the likelihood of sustained ventricular tachycardias in both the healing and chronically infarcted myocardium [46,47] . Recently the functional consequences of changes in Cx43 proteins have been determined using cell pairs dispersed from the border zone and compared to control noninfarcted cell pairs [48] . Gap junctional (Gj) conductance between EBZ cell pairs connected side to side was reduced to 10% of its control value while Gj conductance between cell pairs connected end to end was reduced to 30% of its control value [48] . These electrical changes may be due to the cell surface redistribution of the Cx43 proteins ( Fig. 6 ).

Fig. 6
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Connexin-43 gap junction protein distribution following myocardial infarction. Tissue from non-infarcted canine ventricle (A), surviving subepicardial muscle fibers in 5- and 14-day infarcts (C and E) were incubated with anti-Connexin-43 monoclonal antibody and the binding was visualized. The normal intercalated disk binding (A) changes to a generalized punctate cell surface pattern by day 14 (E). An intermediate stage was observed at day 5 (C) in which the intercalated disk binding is less intense and cell surface binding appears. Corresponding phase micrographs are shown in (B, D and F) normal, day 5, and day 14 post-infarct heart, respectively. At the core of the infarct are non-viable cells, nearly 90% of which showed some degree of staining with connexin-43 antisera (G). None of these cells bound the anti-Kv1.5 serum as shown in (I). Bar represents 50 μM for all panels; reproduced from [50] .

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Connexin-43 gap junction protein distribution following myocardial infarction. Tissue from non-infarcted canine ventricle (A), surviving subepicardial muscle fibers in 5- and 14-day infarcts (C and E) were incubated with anti-Connexin-43 monoclonal antibody and the binding was visualized. The normal intercalated disk binding (A) changes to a generalized punctate cell surface pattern by day 14 (E). An intermediate stage was observed at day 5 (C) in which the intercalated disk binding is less intense and cell surface binding appears. Corresponding phase micrographs are shown in (B, D and F) normal, day 5, and day 14 post-infarct heart, respectively. At the core of the infarct are non-viable cells, nearly 90% of which showed some degree of staining with connexin-43 antisera (G). None of these cells bound the anti-Kv1.5 serum as shown in (I). Bar represents 50 μM for all panels; reproduced from [50] .

The Kv1.5 K + channel has been cloned from mouse, rat and human heart and is localized to the intercalated disk region of the normal heart [49] . In the epicardial border zone of the 5-day infarcted heart, the pattern of Kv1.5 protein cell localization begins to change. By 14 days post occlusion, Kv1.5 protein localization is dramatically altered changing from the distinct intercalated disc pattern of the noninfarcted heart to a more generalized cell surface expression [50] ( Fig. 7 ). The functional significance of these changes remains unknown.

The justification given for the German pension reforms that led to a reduction in the level of state pensions was that contributions were "too high" and could threaten Germany's competitiveness. 24 However, a comparison of the two countries reveals that Austria's economy has actually outperformed Germany's in many respects over the past 16 years. Austria's GDP rose by 22% in real terms between 2000 and 2015, whereas Germany's rose by just 18% over the same period. 25 Productivity and the employment rate (both measured in hours) have also grown more strongly in Austria than in Germany ( Figure 2 ).

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Economic development and competitiveness indicators for Germany, Austria and the eurozone

Note : Eurozone 12 countries include the 12 eurozone members as of 2001: Germany, Austria, the Netherlands, Finland, Luxembourg, Belgium, France, Ireland, Spain, Italy, Portugal, Greece.

Sources : Eurostat; AMECO; authors' own calculations.

Labour costs in Austria have increased more than in Germany. Hourly labour costs in the private sector are now more or less the same in both countries. 26 Data from the OECD's "Taxing Wages" database show that the higher rate of pension contributions in Austria forms part of a social security contribution system in which employers pay significantly higher contributions than employees and indeed than employers in Germany. Reebok Men’s Classic Nylon HS Trainers Blue Smoky Indigo/Whitegum sale best seller 2015 new cheap online extremely cheap online sale enjoy sale find great dE35Av

The convergence of labour costs in the two countries since the start of EMU can be largely attributed to the fact that wage increases in Germany have remained below those in Austria. The labour market and social security reforms introduced in Germany at the beginning of the last decade were primarily aimed at reducing labour costs. These measures had the effect of stifling domestic demand in Germany – even though price inflation was higher in Austria, private consumption in Germany rose by just 11% in real terms over the 16-year period, compared to 17% in Austria. 28 Economic growth in Germany was almost entirely driven by exports, which more than doubled in the period in question. However, Austria also achieved real growth of 82%. The upshot is that Germany has accrued a current account surplus that now stands at almost nine per cent of GDP, whereas Austria's current account surplus has remained virtually unchanged at between two and four per cent. In the final analysis, Austria has chosen to maintain a strong welfare state and has opted not to impose government restrictions on wage increases. Meanwhile, Germany has cut back its welfare state whilst at the same time substantially reducing the contribution burden for businesses and people with high incomes. 29 The economic data indicate that Austria's policies have delivered better results. Moreover, our interpretation of both countries' economic development is ultimately backed up by the change in German economic policy undertaken in the wake of the major recession of 2008-09. This involved taking active measures over a period of time to stabilise demand, resulting in a return to stronger wage growth and the normalisation of employment and economic growth trends. 30

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